1 00:00:00,330 --> 00:00:03,840 You're listening to a very spatial podcast, episode 780. 2 00:00:03,960 --> 00:00:05,670 March 3rd, 2026. 3 00:00:16,620 --> 00:00:18,150 Hello and welcome to A Very Spatial Podcast. 4 00:00:18,150 --> 00:00:18,600 I'm Jesse. 5 00:00:18,960 --> 00:00:19,440 I'm Sue. 6 00:00:20,190 --> 00:00:20,700 I'm Barb. 7 00:00:20,700 --> 00:00:21,540 And this is Frank. 8 00:00:21,990 --> 00:00:25,320 And this week we're gonna talk about some terrestrial mapping stuff, uh, that. 9 00:00:25,830 --> 00:00:28,259 Was all the news at Geo Week. 10 00:00:28,259 --> 00:00:30,450 Well, not all the news, but a lot of the news at Geo Week this week. 11 00:00:30,450 --> 00:00:37,650 But first of course we have Newses, which begins with Google Maps, uh, being 12 00:00:37,650 --> 00:00:39,960 granted access to South Korea's map data. 13 00:00:40,500 --> 00:00:44,879 This is the, the high resolution stuff that South Korea has that 14 00:00:45,480 --> 00:00:49,769 kind of like with China, where they're very territorial with high. 15 00:00:50,324 --> 00:00:55,605 Accuracy data sets and are like, okay, if you're gonna collect high re solution 16 00:00:55,605 --> 00:00:59,325 data, you've gotta let us know about it and we can say yes or no, but we'll 17 00:00:59,325 --> 00:01:00,855 give you access to lower resolution. 18 00:01:01,754 --> 00:01:03,585 That's what everybody's generally had access to. 19 00:01:03,585 --> 00:01:08,414 So now Google's gonna get access to South Korea's high resolution dataset. 20 00:01:08,414 --> 00:01:12,085 And this is important because of course if you are using Google Maps for 21 00:01:12,085 --> 00:01:16,735 transportation or for just trying to get around, uh, and you're not from South 22 00:01:16,735 --> 00:01:18,565 Korea and so you're not connected to. 23 00:01:19,150 --> 00:01:22,510 South Korea's datasets, you will now be able to do that. 24 00:01:22,510 --> 00:01:27,070 And I will say from our time, uh, in Japan where Google Maps is 25 00:01:27,070 --> 00:01:32,920 invaluable for getting everything from train times to from point A to 26 00:01:32,920 --> 00:01:37,360 point B on public transportation, it's just really nice to have that. 27 00:01:37,360 --> 00:01:38,560 So it's, it's gonna be. 28 00:01:39,295 --> 00:01:44,545 Interesting to see how this changes the landscape of data usage or more 29 00:01:44,545 --> 00:01:48,925 importantly, map usage, map app usage, uh, in South Korea going forward. 30 00:01:49,375 --> 00:01:53,115 Uh, so they do have some restrictions on it too because for, I think, what did 31 00:01:53,115 --> 00:01:57,120 they say over two decades, they've kind of resisted this and what it boiled down to 32 00:01:57,120 --> 00:02:01,515 is they didn't wanna export their high res data, uh, to over any overseas servers. 33 00:02:01,885 --> 00:02:02,455 So. 34 00:02:02,860 --> 00:02:05,920 By allowing Google to have it, though Google has to abide by some, um, 35 00:02:05,920 --> 00:02:09,519 restrictions including blurring, uh, sensitive sites, which is done other 36 00:02:09,519 --> 00:02:13,839 places, but interestingly, disallowing Latin long on South Korean territory. 37 00:02:13,839 --> 00:02:18,070 So you can get, you can get around with your directions and stuff like that, but 38 00:02:18,130 --> 00:02:22,570 you won't see the, the LA Long showing, apparently I haven't tested it, but 39 00:02:23,589 --> 00:02:28,179 so they've, they've, they've not 100% said you can do what you want, but. 40 00:02:29,139 --> 00:02:29,569 That's okay. 41 00:02:29,664 --> 00:02:30,834 Still for everyday uses. 42 00:02:30,834 --> 00:02:33,084 That's not really gonna keep anybody. 43 00:02:33,084 --> 00:02:33,144 I, 44 00:02:33,864 --> 00:02:38,904 I think this demonstrates one of the, the skills that you need as a geospatial 45 00:02:38,904 --> 00:02:42,864 company and geospatial professionals in that we do work a lot of times with 46 00:02:42,864 --> 00:02:49,024 shared data that, you know, Google's built up a lot of trust between, you know, 47 00:02:49,054 --> 00:02:51,424 countries and places that they work with. 48 00:02:51,484 --> 00:02:55,445 And as Sue pointed out, it did take almost, you know, two decades. 49 00:02:56,300 --> 00:02:59,390 To have them change their minds about the stance. 50 00:02:59,780 --> 00:03:03,570 So I think that says a lot about you know, the work that Google's 51 00:03:03,570 --> 00:03:05,280 doing, Google Maps around the world. 52 00:03:05,340 --> 00:03:09,030 I think the background, the other question is, or did Google finally 53 00:03:09,030 --> 00:03:11,760 concede to South Korea's expectations? 54 00:03:12,630 --> 00:03:12,750 True. 55 00:03:12,750 --> 00:03:16,440 So, you know, it, some of it might be South Korea, some of it might be Google. 56 00:03:16,860 --> 00:03:20,280 Just saying, you know, we'll, we'll let it go if we can get access to this 57 00:03:20,280 --> 00:03:21,870 data and be able to collect things. 58 00:03:21,870 --> 00:03:21,930 So. 59 00:03:23,295 --> 00:03:27,555 Or did the public put so much push on both of them that they gave in? 60 00:03:27,855 --> 00:03:32,125 Next up, the European Space Agency is preparing to launch the Celeste, 61 00:03:32,545 --> 00:03:37,125 Leo PNT, low Earth orbit precision navigation and time system. 62 00:03:37,525 --> 00:03:41,545 And so this is gonna be an in orbit demonstration mission that's 63 00:03:41,635 --> 00:03:45,655 gonna launch on March 24th to show how the system's gonna work. 64 00:03:46,465 --> 00:03:49,165 Uh, it's gonna launch from New Zealand, but really it's just. 65 00:03:49,795 --> 00:03:56,314 Key that, you know, after we've seen various PNT systems, localized 66 00:03:56,314 --> 00:03:59,734 PNT systems be kind of taken off. 67 00:03:59,794 --> 00:04:04,234 So Eran and things like that being taken offline, the fact that over 68 00:04:04,234 --> 00:04:08,884 the last year we've seen systems both coming back online and new systems 69 00:04:09,244 --> 00:04:13,984 being prepared as we see more GPS jamming and, and things like that. 70 00:04:14,104 --> 00:04:14,704 Um, it's just. 71 00:04:14,750 --> 00:04:18,290 You know, interesting to see how that's, that's changing. 72 00:04:18,589 --> 00:04:18,829 Yeah. 73 00:04:18,829 --> 00:04:23,000 So what this is, is essentially going to be a complimentary layer to Galileo. 74 00:04:23,000 --> 00:04:24,140 That's what they're testing for. 75 00:04:24,410 --> 00:04:27,590 So Galileo and systems like that are mid, middle or medium 76 00:04:27,620 --> 00:04:29,420 earth orbit, so MEO systems. 77 00:04:29,810 --> 00:04:34,910 And so the idea is to essentially boost what's already, you know, 78 00:04:34,940 --> 00:04:39,710 coming out of those satellites and also enhance them, uh, and pick up 79 00:04:39,710 --> 00:04:41,000 the slack when there are problems. 80 00:04:41,435 --> 00:04:46,745 And E-S-A-E-S-A is offering interested third parties from the ESA participating 81 00:04:46,745 --> 00:04:51,575 states the opportunity to participate in this experimentation phase. 82 00:04:51,984 --> 00:04:55,914 And they have more information available on their open space innovation platform. 83 00:04:56,814 --> 00:04:58,344 They have cool names for their missions. 84 00:04:58,374 --> 00:04:59,784 Galileo, Celeste. 85 00:05:00,849 --> 00:05:01,989 Other ones I can't think of right now, 86 00:05:03,034 --> 00:05:04,869 but, but something that makes me smile. 87 00:05:04,899 --> 00:05:08,009 'cause it's also when you see you know, things in geo, the geospatial 88 00:05:08,009 --> 00:05:09,269 world that say not to scale. 89 00:05:09,269 --> 00:05:12,869 And you're like, well obviously, uh, they basically have the 90 00:05:12,869 --> 00:05:15,779 satellite system with artists rendering of what it will look like. 91 00:05:16,389 --> 00:05:17,254 And you're like, well, I've. 92 00:05:18,925 --> 00:05:22,234 Sometimes we forget that when we're seeing those images of satellites, 93 00:05:22,234 --> 00:05:25,294 that a lot of times it is the artist rendering of what it looks like. 94 00:05:25,474 --> 00:05:27,814 So I will say this is just a large cube set. 95 00:05:27,814 --> 00:05:29,704 These, these two that are being used. 96 00:05:29,704 --> 00:05:32,014 So not giant satellites. 97 00:05:33,064 --> 00:05:33,964 I do, I do. 98 00:05:34,474 --> 00:05:36,064 What was the technical thing I was gonna say? 99 00:05:36,634 --> 00:05:37,804 Oh, the medium versus low. 100 00:05:37,804 --> 00:05:40,354 Of course, whenever you're talking about that distance, it's 101 00:05:40,354 --> 00:05:42,634 not a huge distance, but it is. 102 00:05:43,229 --> 00:05:48,959 Less impacted by atmospheric and other aspects in terms of getting the signal 103 00:05:48,959 --> 00:05:51,749 from the satellite to the sensor. 104 00:05:52,379 --> 00:05:56,909 And so just having that little bit closer distance, I'm curious to see 105 00:05:57,539 --> 00:06:01,649 what kind of, uh, how that impacts the accuracy between the two systems. 106 00:06:02,429 --> 00:06:05,999 And also if the tests are successful, like what are they ultimately envisioning for 107 00:06:05,999 --> 00:06:08,429 the full, a full Celeste Constellation. 108 00:06:09,089 --> 00:06:09,719 That would be a question. 109 00:06:10,319 --> 00:06:12,119 Next up a couple of RI news items. 110 00:06:12,149 --> 00:06:17,949 Uh, one everyone who has been in the Esri uh, world for a while now should, uh, 111 00:06:17,979 --> 00:06:20,079 gently pour one out for an old friend. 112 00:06:20,719 --> 00:06:24,619 Arc Map is officially retired as of March 1st, or a couple days ago. 113 00:06:24,619 --> 00:06:25,549 As of this recording. 114 00:06:26,524 --> 00:06:29,044 It has officially entered the retirement phase. 115 00:06:29,584 --> 00:06:32,464 This should not be a shock to anyone. 116 00:06:32,854 --> 00:06:35,704 We've certainly talked about the fact this was coming up for, I don't 117 00:06:35,704 --> 00:06:36,904 know, it feels like forever now, 118 00:06:36,964 --> 00:06:37,354 about a decade. 119 00:06:37,474 --> 00:06:39,964 Uh, the LA Yeah, it feels for a while. 120 00:06:40,544 --> 00:06:43,934 The last version was ArcMap 10.8 0.2. 121 00:06:44,594 --> 00:06:45,764 What does retired mean? 122 00:06:46,559 --> 00:06:49,559 It doesn't mean it gets to go off to a beat somewhere and drink my TAs. 123 00:06:49,559 --> 00:06:53,069 What it means is that basically if you call Ezra and say, I've got a 124 00:06:53,069 --> 00:06:54,509 problem, they go, well, that sucks. 125 00:06:54,509 --> 00:06:56,159 The first problem you have is you have ARC Map. 126 00:06:56,159 --> 00:06:58,379 We don't support that anymore, so you cannot create any tech 127 00:06:58,379 --> 00:07:00,329 support cases whatsoever. 128 00:07:00,629 --> 00:07:03,689 You do still have online support resources. 129 00:07:03,784 --> 00:07:04,654 Resources. 130 00:07:04,654 --> 00:07:08,284 So in other words, if there are technical articles out there or you 131 00:07:08,284 --> 00:07:10,924 know, form posts or stuff like that, they're not deleting all that stuff. 132 00:07:10,924 --> 00:07:14,404 So you still can get access to that if you insist on running arc map. 133 00:07:14,404 --> 00:07:16,234 But that's pretty much all you got. 134 00:07:16,564 --> 00:07:20,334 Uh, there will be no updates or patches and there is no new 135 00:07:20,334 --> 00:07:21,564 environment certifications. 136 00:07:21,564 --> 00:07:26,184 What that means is just the fancy way of saying if Windows 12 comes out next year. 137 00:07:27,124 --> 00:07:30,934 Not that it is just saying hypothetically, if it is, then it will not be 138 00:07:31,534 --> 00:07:35,224 figured out whether ArcMap will be running successfully on Windows 12. 139 00:07:35,224 --> 00:07:42,064 So ArcMap had a long, long, long lifecycle, let's see, 2000, 140 00:07:42,124 --> 00:07:43,024 2000, roughly? 141 00:07:43,684 --> 00:07:43,984 Yeah. 142 00:07:44,044 --> 00:07:45,919 2000 or so until, so about 26. 143 00:07:47,374 --> 00:07:47,734 Yeah. 144 00:07:47,864 --> 00:07:51,524 So a quarter century, that is an impressive life cycle 145 00:07:51,524 --> 00:07:53,264 for any piece of software. 146 00:07:53,504 --> 00:07:57,494 And we say 10, just to, to jump into, to Frank's, we say 147 00:07:57,494 --> 00:08:00,134 10.8, but it started at 8.0. 148 00:08:01,094 --> 00:08:01,424 Yeah. 149 00:08:01,484 --> 00:08:05,084 So it's not like it was a lot of different versions, but there were a lot, of course 150 00:08:05,084 --> 00:08:07,364 increments through eight, nine, and 10. 151 00:08:07,424 --> 00:08:11,084 But yeah, it's, it's not, yeah, there weren't that many different versions. 152 00:08:12,029 --> 00:08:17,579 And, and anyone who has had any experience working with Arc View, ask your parents. 153 00:08:18,299 --> 00:08:18,749 They're awesome. 154 00:08:18,749 --> 00:08:22,289 Before that, you can run ARC Map for a shockingly long 155 00:08:22,289 --> 00:08:23,909 period of time successfully. 156 00:08:23,909 --> 00:08:26,969 So it's not like your software won't work necessarily. 157 00:08:26,969 --> 00:08:28,349 I don't know if you can license for it. 158 00:08:28,349 --> 00:08:30,959 I haven't looked into my Esri, uh, to figure that out. 159 00:08:31,349 --> 00:08:33,939 But you, you know, if you have a standalone license, 160 00:08:34,419 --> 00:08:35,649 it will probably function. 161 00:08:36,714 --> 00:08:39,924 If you don't have an exit strategy out of arc map, you should 162 00:08:39,924 --> 00:08:40,944 have gotten one a year ago. 163 00:08:41,154 --> 00:08:42,114 You really gotta get on that. 164 00:08:42,504 --> 00:08:43,824 You should have had one three years ago. 165 00:08:44,424 --> 00:08:48,114 'cause it was end of life two years ago. 166 00:08:49,555 --> 00:08:53,484 This is just the final, we're done walking away 167 00:08:54,324 --> 00:08:56,329 walking away, turning the lights out, closing the door. 168 00:08:57,444 --> 00:08:58,795 A lot of people love ArcMap. 169 00:08:58,824 --> 00:08:59,994 It was never my particular thing. 170 00:08:59,994 --> 00:09:01,254 It always worked weird for me. 171 00:09:01,314 --> 00:09:02,545 It wasn't what I was into. 172 00:09:02,545 --> 00:09:06,474 Arc Pro is much more in line with what I think about. 173 00:09:07,404 --> 00:09:10,224 But related to that of course, is Rt S Online. 174 00:09:10,254 --> 00:09:14,034 February saw a new set of updates, as has happened pretty 175 00:09:14,034 --> 00:09:18,564 much every February, March-ish timeframe for a really long time. 176 00:09:18,564 --> 00:09:18,804 Now. 177 00:09:18,804 --> 00:09:21,474 There's a whole bunch of new stuff in there, I'll be honest with you. 178 00:09:21,474 --> 00:09:23,754 Check the link in the show notes to dig through it all. 179 00:09:23,754 --> 00:09:25,404 I only kind of scanned. 180 00:09:25,494 --> 00:09:30,324 Pieces of it, but there's some kind of cool stuff in the mapping piece. 181 00:09:30,324 --> 00:09:35,064 I think the most important one in other retirement news is if you're using Map 182 00:09:35,064 --> 00:09:39,624 Viewer Classic, which used to just be Map Viewer, that's now retired, so you'll 183 00:09:39,624 --> 00:09:42,114 be moving over to the new Map viewer. 184 00:09:42,564 --> 00:09:43,854 Honestly, it's just better. 185 00:09:44,094 --> 00:09:44,394 So 186 00:09:45,594 --> 00:09:50,154 to jump in on that, yes, it is better, and two, this means that 187 00:09:50,154 --> 00:09:52,284 if you have any old story maps. 188 00:09:52,959 --> 00:09:55,300 That used map viewer. 189 00:09:55,539 --> 00:09:56,859 Yo, those story maps. 190 00:09:57,069 --> 00:09:57,639 Classic. 191 00:09:57,639 --> 00:09:57,659 Yeah, classic. 192 00:09:57,930 --> 00:09:59,800 Those have issues now. 193 00:10:00,490 --> 00:10:03,580 So go through your old story maps and uh, check those. 194 00:10:03,580 --> 00:10:04,840 Make sure everything's still working. 195 00:10:05,200 --> 00:10:07,210 Uh, and if not, try to get it moved over. 196 00:10:07,210 --> 00:10:08,200 If you didn't do it before the end of life. 197 00:10:10,480 --> 00:10:12,940 Yeah, many of us have those floating around that we forget. 198 00:10:12,940 --> 00:10:15,580 Were put up somewhere and people are still accessing. 199 00:10:15,950 --> 00:10:19,460 So you might wanna, you know, create a catalog to keep track of, you 200 00:10:19,460 --> 00:10:22,310 know, where you've shared things and posted them and see if it's still 201 00:10:22,310 --> 00:10:24,020 being used and should be updated. 202 00:10:24,714 --> 00:10:26,305 There's a bunch of other really cool things in the map. 203 00:10:26,305 --> 00:10:29,574 Stuff like you can print now with dynamic layers, which is really nice 204 00:10:29,574 --> 00:10:32,364 because that was always annoying if you ever tried to, needed to actually 205 00:10:32,364 --> 00:10:34,165 print a paper copy of anything. 206 00:10:34,555 --> 00:10:36,295 Um, you can do time-based layers. 207 00:10:36,295 --> 00:10:39,175 There's a whole visualization tab now that doesn't require you to open 208 00:10:39,175 --> 00:10:41,425 the entire map viewer to do things. 209 00:10:41,844 --> 00:10:45,474 There's a lot of nice improvements, but it's really no different than 210 00:10:45,474 --> 00:10:49,074 any other sort of update to RGS online is that they're, you know, 211 00:10:49,224 --> 00:10:50,905 constantly rolling in new stuff. 212 00:10:51,175 --> 00:10:52,314 So really check out the. 213 00:10:52,485 --> 00:10:56,265 The links to in the show notes to figure out all the things you can do. 214 00:10:56,865 --> 00:10:57,315 Yes. 215 00:10:58,815 --> 00:11:02,355 Which is a lot as we do every time, which in the middle of 216 00:11:02,355 --> 00:11:05,115 this semester, the biggest, the biggest jump was on the, on the map viewer. 217 00:11:05,145 --> 00:11:06,525 The, that's the biggest part of the show. 218 00:11:06,585 --> 00:11:07,215 Of the show notes. 219 00:11:07,215 --> 00:11:07,545 I'm sorry. 220 00:11:07,635 --> 00:11:10,335 The biggest part of the update notes because you know 221 00:11:10,335 --> 00:11:11,175 a lot of cool stuff there, 222 00:11:11,625 --> 00:11:12,705 uh, that I'm trying to remember. 223 00:11:12,705 --> 00:11:14,415 There was something, three DI just can't remember the 224 00:11:14,415 --> 00:11:15,795 photo realistic tiles 225 00:11:15,945 --> 00:11:16,095 there. 226 00:11:16,095 --> 00:11:20,745 There is that, but 'cause those are Google photo realistic tiles. 227 00:11:21,470 --> 00:11:25,550 Now you can access those in, in arc scene or the scene viewer. 228 00:11:25,970 --> 00:11:29,120 Uh, but the thing that I'm thinking of in 3D is actually, 229 00:11:29,930 --> 00:11:30,800 'cause Frank's here, spli layers. 230 00:11:31,610 --> 00:11:32,390 Oh, that's good. 231 00:11:32,720 --> 00:11:33,980 Oh yeah. 232 00:11:33,980 --> 00:11:37,310 I guess we should say that before we go onto the other 233 00:11:37,310 --> 00:11:38,300 thing I was gonna talk about. 234 00:11:38,780 --> 00:11:41,780 But yeah, I mean that's, I don't know. 235 00:11:41,780 --> 00:11:42,769 I haven't done enough. 236 00:11:43,430 --> 00:11:45,469 I've used it, but I haven't. 237 00:11:46,489 --> 00:11:47,359 I taking the time 238 00:11:47,359 --> 00:11:47,899 to understand it. 239 00:11:48,589 --> 00:11:48,749 You have a splat layers. 240 00:11:48,749 --> 00:11:48,759 Yeah. 241 00:11:48,759 --> 00:11:49,969 Like gazi and splat layers. 242 00:11:49,969 --> 00:11:50,029 Yeah. 243 00:11:50,059 --> 00:11:51,529 Here's the thing about gauzy and splat layers. 244 00:11:51,529 --> 00:11:53,059 First of all, it sounds really cool. 245 00:11:53,059 --> 00:11:56,059 It's a great Thanksgiving or a holiday with your family. 246 00:11:56,059 --> 00:11:56,449 What do you do? 247 00:11:56,449 --> 00:11:58,969 Do gazi and spa splat layers, and they go, oh, that sounds impressive. 248 00:11:59,269 --> 00:12:01,039 But when you do it, you go, that's really cool, and then you 249 00:12:01,039 --> 00:12:01,819 kinda move on something else. 250 00:12:03,184 --> 00:12:06,304 It's just, it's like, it's, it's neat and it's pretty, but 251 00:12:06,364 --> 00:12:07,654 I don't, I don't know why it, 252 00:12:08,074 --> 00:12:10,234 so upshot is photogrammetry. 253 00:12:10,234 --> 00:12:13,654 Whenever you want to create a 3D model, whether it's from aerial imagery, 254 00:12:13,714 --> 00:12:19,324 so top down or terrestrial levels, um, this is a way to go to create 255 00:12:19,324 --> 00:12:22,594 models that you can put into scene viewer, uh, and now utilize them. 256 00:12:22,594 --> 00:12:27,424 And it's just how is it different from, uh, the traditional photogrammetry? 257 00:12:27,424 --> 00:12:31,910 I. Understand it, but I could not explain it. 258 00:12:32,780 --> 00:12:33,139 Same. 259 00:12:34,849 --> 00:12:38,449 I don't understand it well enough to be confident to, to talk about it. 260 00:12:39,079 --> 00:12:39,229 To 261 00:12:39,229 --> 00:12:41,180 me it's a little bit like the different types of creaking. 262 00:12:41,420 --> 00:12:45,619 Like I kind of know what they do, but I don't really understand the math. 263 00:12:46,280 --> 00:12:46,639 That's, 264 00:12:46,910 --> 00:12:47,300 yeah. 265 00:12:47,359 --> 00:12:47,660 Yeah. 266 00:12:49,400 --> 00:12:50,030 That's the, yeah. 267 00:12:50,719 --> 00:12:51,050 Okay. 268 00:12:51,079 --> 00:12:54,680 But the other three that you thing I was thinking of is, uh, QGIS 4.0, 269 00:12:54,680 --> 00:12:57,349 which is supposed to come out this month, or was supposed to come out 270 00:12:57,349 --> 00:12:59,839 last month and maybe has, maybe hasn't. 271 00:13:00,469 --> 00:13:01,729 Yeah, I'm the guy that knows that, 272 00:13:01,999 --> 00:13:03,739 that's why I was like, I don't know if I wanna say this right after 273 00:13:03,739 --> 00:13:05,329 Frank was talking about RGS online. 274 00:13:05,749 --> 00:13:09,930 But just be aware apparently one of the big things is going to be 275 00:13:09,930 --> 00:13:12,930 more 3D capabilities, and this includes things like point clouds 276 00:13:12,930 --> 00:13:16,560 and stuff, which you could bring into before, especially for lidar. 277 00:13:16,560 --> 00:13:18,030 But, um, it's just. 278 00:13:19,320 --> 00:13:24,090 Better in four from what I'm reading. 279 00:13:24,570 --> 00:13:27,960 But again, I haven't downloaded it yet and I don't see it on the, 280 00:13:27,960 --> 00:13:31,230 um, the download page right now. 281 00:13:32,130 --> 00:13:32,700 So 282 00:13:33,750 --> 00:13:34,440 I haven't seen it yet. 283 00:13:34,440 --> 00:13:38,250 But I can always tell when there's a change like that occurring because 284 00:13:38,250 --> 00:13:42,960 you start to see more of the tutorials being put up, places getting ready. 285 00:13:43,620 --> 00:13:46,980 So we should, and now that's, this is not the long-term release, this 286 00:13:46,980 --> 00:13:50,579 is the original, uh, initial 4.0 release, the 4.2 release, which 287 00:13:50,579 --> 00:13:53,460 is I think October or November is meant to be the long-term release. 288 00:13:53,460 --> 00:13:59,860 So, if you are using this for day-to-day work, you know, don't switch over. 289 00:14:00,190 --> 00:14:02,360 Maybe have it installed in two different locations, but. 290 00:14:03,085 --> 00:14:05,455 Yeah, it's a great use case for a virtual machine or something like 291 00:14:05,455 --> 00:14:06,745 that, you know, see what you can do. 292 00:14:07,975 --> 00:14:09,505 So keep that in mind. 293 00:14:10,015 --> 00:14:14,365 Texas a and m University worked with the US National Science Foundation 294 00:14:14,635 --> 00:14:18,535 to create a, they're, they're just saying it's just a massive data set. 295 00:14:18,815 --> 00:14:20,075 That is. 296 00:14:20,250 --> 00:14:23,880 Of high resolution earth systems, um, that's free that 297 00:14:23,880 --> 00:14:25,380 you can use for simulations. 298 00:14:25,680 --> 00:14:28,950 Um, and it's giving them new insights into meteorology. 299 00:14:29,200 --> 00:14:34,180 And also, you know, allowing them, they said to do, um, models further out 300 00:14:34,180 --> 00:14:37,090 from different types of weather events. 301 00:14:37,655 --> 00:14:41,585 Uh, so in the, you know, nature geoscience, they talk about how 302 00:14:41,585 --> 00:14:45,875 it's already helping them to better predict precipitation events. 303 00:14:46,125 --> 00:14:51,525 And looking at things like atmospheric rivers, um, and tropical cyclones, um, 304 00:14:51,525 --> 00:14:55,605 that are affecting, you know, fisheries and other people along the coastlines. 305 00:14:56,085 --> 00:14:59,445 Um, so, you know, this is a, a major accomplishment, as they say. 306 00:14:59,445 --> 00:15:00,525 It's really exciting. 307 00:15:00,825 --> 00:15:04,345 Um, and it's gonna open up the types of research opportunities for 308 00:15:04,345 --> 00:15:07,255 people that are gonna be able to use what they're calling Mesa clip. 309 00:15:07,715 --> 00:15:10,795 Is the, the high resolution dataset. 310 00:15:11,005 --> 00:15:15,055 This dataset is six over 6,000 terabytes. 311 00:15:16,255 --> 00:15:18,685 I mean, that's just mind boggling, but also. 312 00:15:20,360 --> 00:15:23,090 We used to think, we're used to thinking in big data sets 313 00:15:23,090 --> 00:15:24,170 like that in our, our world. 314 00:15:24,230 --> 00:15:26,780 So on the one hand, that's mind boggling on the other hand. 315 00:15:27,290 --> 00:15:27,530 Yeah. 316 00:15:27,560 --> 00:15:27,770 Okay. 317 00:15:27,770 --> 00:15:28,340 That makes sense. 318 00:15:29,000 --> 00:15:29,150 Yeah. 319 00:15:29,150 --> 00:15:32,390 What's, what's interesting they said is typically if you're working with 320 00:15:32,390 --> 00:15:36,560 the Earth's climate or, or you know, with this type of data, you would be 321 00:15:36,560 --> 00:15:38,960 using low resolution for simulations. 322 00:15:39,240 --> 00:15:43,170 And this allows you to use high resolutions for something that's 323 00:15:43,170 --> 00:15:45,720 extremely complex, like looking at interactions between the 324 00:15:45,720 --> 00:15:47,550 ocean, sea, ice, and land surface. 325 00:15:47,550 --> 00:15:51,360 And I always think, you know, dealing with sea ice is just really fascinating, 326 00:15:51,780 --> 00:15:53,430 um, because of how complex it is. 327 00:15:53,910 --> 00:15:56,310 Now, keep in mind whenever they're talking about high resolution, this is 328 00:15:56,310 --> 00:16:01,110 high resolution global, so we are still talking about kilometers per pixel. 329 00:16:01,560 --> 00:16:05,340 Um, so somewhere between three and 25, it seems, uh, depending on 330 00:16:05,340 --> 00:16:06,780 which data layer you're looking at. 331 00:16:06,780 --> 00:16:13,620 And this is also 4,500 years of simulated data or PR or, uh, 332 00:16:13,620 --> 00:16:15,300 derived data from various sources. 333 00:16:15,840 --> 00:16:16,350 So. 334 00:16:17,565 --> 00:16:19,305 That's past, present, and future. 335 00:16:19,305 --> 00:16:24,435 So it, you know, it's predicted and the past, so you can follow that all along. 336 00:16:24,885 --> 00:16:25,065 Yeah. 337 00:16:25,065 --> 00:16:27,495 And they're, and they're looking currently for other groups to work 338 00:16:27,495 --> 00:16:33,185 with them to come up with other simulations with this data set. 339 00:16:35,650 --> 00:16:37,325 But continuing with ncar. 340 00:16:39,710 --> 00:16:45,410 Um, continuing with Ncar r the American Meteorological Society, and I believe a EG 341 00:16:45,410 --> 00:16:51,540 as well have come out in response because Ncar R is under threat to be dismantled. 342 00:16:52,290 --> 00:16:56,130 You know, NCAR being the National Center for Atmospheric Research, um, 343 00:16:56,130 --> 00:17:00,210 they said they have support from not only the association and researchers, 344 00:17:00,210 --> 00:17:06,400 but also from industry that, you know, this is, uh, across institutional 345 00:17:06,400 --> 00:17:07,930 network that's been built up. 346 00:17:08,200 --> 00:17:11,440 They consider it vital to publicly accessible resources 347 00:17:11,500 --> 00:17:12,970 for atmospheric scientists. 348 00:17:13,280 --> 00:17:16,460 And that it's crucial to what they do for, for understanding 349 00:17:16,460 --> 00:17:17,630 and predicting the weather. 350 00:17:18,025 --> 00:17:22,535 So they're, you know, asking for, for comments from the public and others 351 00:17:22,535 --> 00:17:24,275 to, to keep it from being closed 352 00:17:24,545 --> 00:17:25,685 by March 13th. 353 00:17:25,685 --> 00:17:29,885 If you are gonna comment, make sure to, uh, comment, comment before March 13th. 354 00:17:31,280 --> 00:17:34,670 Ncar, if you don't know, falls under the National Science Foundation. 355 00:17:34,850 --> 00:17:38,660 And this is a critical piece for university research about 356 00:17:38,690 --> 00:17:43,420 the, uh, um, atmosphere and, and the research around that. 357 00:17:43,930 --> 00:17:48,970 You can understand why this administration may not support that 358 00:17:49,030 --> 00:17:54,460 this fully as past administrations have, uh, but it does provide us some 359 00:17:54,460 --> 00:17:56,800 really important science that that. 360 00:17:57,295 --> 00:17:59,275 Is in danger of just being lost. 361 00:17:59,275 --> 00:18:03,505 So please, if you're inclined to comment, take the time to do so. 362 00:18:03,925 --> 00:18:07,315 Yeah, and what they said is one of the things that could happen is because Ucar 363 00:18:07,315 --> 00:18:11,995 spent so long building up this network, they have research teams, computing 364 00:18:11,995 --> 00:18:17,185 systems and observation infrastructures, um, that no one else you know, has to use. 365 00:18:17,890 --> 00:18:18,730 Is available. 366 00:18:19,720 --> 00:18:24,370 And the data, the data they provide is in a wide range of sectors 367 00:18:24,370 --> 00:18:25,630 that maybe you don't think about. 368 00:18:25,630 --> 00:18:30,050 So partners in agriculture you know, water utilities, private weather companies, 369 00:18:30,380 --> 00:18:33,800 uh, aerospace and insurance, uh, and financial risk industries, right? 370 00:18:33,800 --> 00:18:34,940 And, and tons more. 371 00:18:34,940 --> 00:18:39,110 So, it isn't just it, the science is crucial, but that is 372 00:18:39,110 --> 00:18:40,490 not the only use of the data. 373 00:18:40,940 --> 00:18:42,050 Uh, that comes from 374 00:18:42,890 --> 00:18:45,940 ncar as mentioned before, the a EG is you know, concerned about this. 375 00:18:45,940 --> 00:18:49,300 And so they're having a virtual coffee hour. 376 00:18:49,540 --> 00:18:52,150 Yeah, this Friday, uh, March 6th. 377 00:18:52,150 --> 00:18:55,910 So if you're hearing this before March 6th if you're interested, it's 378 00:18:55,910 --> 00:19:00,410 gonna take place 10:00 AM Pacific time, 1:00 PM Eastern Time in the us. 379 00:19:00,930 --> 00:19:04,890 And basically they'll be talking about the A a G Climate Action Committee. 380 00:19:04,890 --> 00:19:08,010 We'll be talking about the proposed restructuring of ncar. 381 00:19:08,580 --> 00:19:08,880 Yeah. 382 00:19:09,600 --> 00:19:14,070 And so that might give you some ideas of what you might wanna comment on by the 383 00:19:14,070 --> 00:19:15,780 13th if you are contemplating doing so. 384 00:19:17,970 --> 00:19:24,430 And then finally this week it's, it's, I don't know, it maybe was, would've been 385 00:19:24,430 --> 00:19:31,900 better as a web corner, but I think it's news given it's context of a former. 386 00:19:32,620 --> 00:19:37,585 Google and many other companies project manager, engineer, whatever uh, du 387 00:19:38,515 --> 00:19:45,985 put together vibe coded, essentially a virtual globe that is pulling on lots 388 00:19:45,985 --> 00:19:48,235 of os n or open source information. 389 00:19:49,165 --> 00:19:53,575 Sources and putting it on this thing using various agent based 390 00:19:53,875 --> 00:19:58,015 AI technologies and techniques to basically build this thing up. 391 00:19:58,015 --> 00:20:03,055 And so people are calling it an open source, Palantir, or, I dunno, they're 392 00:20:03,055 --> 00:20:04,255 calling lots of different things. 393 00:20:04,315 --> 00:20:07,945 Weirdly it's gonna be called worldview, so I'm curious if it's gonna be 394 00:20:07,945 --> 00:20:11,455 based on NASA's worldview code. 395 00:20:12,130 --> 00:20:13,360 NASA was whirlwind. 396 00:20:13,415 --> 00:20:14,155 Was it whirlwind? 397 00:20:14,320 --> 00:20:14,560 Yes. 398 00:20:14,560 --> 00:20:15,490 Worldview's a satellite. 399 00:20:15,850 --> 00:20:16,120 Oh, that's right. 400 00:20:16,120 --> 00:20:16,360 Yeah. 401 00:20:16,450 --> 00:20:17,800 But still odd to use that. 402 00:20:17,920 --> 00:20:21,580 And also spatial os I'm like, I'm getting such watchdog vibes. 403 00:20:21,760 --> 00:20:21,910 Yeah. 404 00:20:21,970 --> 00:20:25,990 From the whole thing and it, you know, but which, hey, the, the, as he pointed 405 00:20:25,990 --> 00:20:30,580 out, this stuff in various forms has been around, uh, and thought about for a while, 406 00:20:30,580 --> 00:20:32,920 which is of course is why you can five code it. 407 00:20:32,920 --> 00:20:35,110 'cause the code for a lot of these things are out there. 408 00:20:35,455 --> 00:20:39,235 But yeah, he's, he's had a couple of videos recently on YouTube to talk about 409 00:20:39,235 --> 00:20:44,125 this and the response to him working on it and sharing videos about it. 410 00:20:44,185 --> 00:20:48,515 Uh, apparently he's gonna release it sometime later in the year as a, as a 411 00:20:48,845 --> 00:20:51,065 tool set or whatever you wanna call it. 412 00:20:51,575 --> 00:20:54,155 You can find out from him when he would call it, but it's just, 413 00:20:54,155 --> 00:20:57,365 it's just interesting 'cause you know, it, it is building on. 414 00:20:57,950 --> 00:20:58,760 His time. 415 00:20:58,760 --> 00:21:02,240 You can see it, you know, Google Earth and those type of technologies. 416 00:21:02,480 --> 00:21:07,280 It's really kind of, if you take Keyhole and advance it 20 417 00:21:07,280 --> 00:21:08,480 years, what it would've been. 418 00:21:08,480 --> 00:21:08,720 Right? 419 00:21:09,110 --> 00:21:09,440 Yeah. 420 00:21:09,530 --> 00:21:10,550 I like his sentence. 421 00:21:10,550 --> 00:21:13,160 What I built is fundamentally a surveillance aesthetic 422 00:21:13,490 --> 00:21:14,600 built on public data. 423 00:21:15,170 --> 00:21:18,560 So a lot of it is about the visual and, and how you're accessing 424 00:21:18,560 --> 00:21:20,420 and integrating the data. 425 00:21:21,320 --> 00:21:25,310 It's, it's almost like what a world we live in because we've got, you know, Jesse 426 00:21:25,310 --> 00:21:29,030 saying the vibe coding and you saying the aesthetic, and then I was looking 427 00:21:29,030 --> 00:21:32,900 at if the whole thing skinned to look like a classified intelligence system. 428 00:21:33,230 --> 00:21:38,280 So in some ways it feels like, the early days when, when, you know, people were 429 00:21:38,280 --> 00:21:42,210 like looking for the challenge and putting things together, but then it's, it's made 430 00:21:42,210 --> 00:21:44,190 off of, you know, very real open source. 431 00:21:45,135 --> 00:21:47,415 Things that people have worked on for a long time. 432 00:21:47,565 --> 00:21:50,865 And then on top of that, it's, it's, you know, a very serious 433 00:21:51,015 --> 00:21:53,235 area of the geospatial community. 434 00:21:53,565 --> 00:21:56,655 So it's just a weird juxtaposition, but also pretty cool to see 435 00:21:57,435 --> 00:22:02,205 my favorite quote between Gemini, Claude, and Codex specific versions. 436 00:22:02,295 --> 00:22:04,395 It's honestly wild what you can build right now. 437 00:22:05,200 --> 00:22:10,330 The really interesting there is that he's hitting across effectively two 438 00:22:10,330 --> 00:22:13,420 or three different ai uh, uh, models. 439 00:22:13,870 --> 00:22:20,590 And he's not wrong, but it's still, I think even now it impresses me 440 00:22:20,590 --> 00:22:22,300 what I can get these things to do. 441 00:22:22,600 --> 00:22:22,810 Yeah. 442 00:22:23,470 --> 00:22:26,350 Just to drop you a few lines of code and you just put that 443 00:22:26,350 --> 00:22:27,115 together with this other set of. 444 00:22:27,865 --> 00:22:30,895 Code that you got from over here and just keep piling together until 445 00:22:30,895 --> 00:22:32,425 you get the, the tool that you want. 446 00:22:33,055 --> 00:22:35,905 Now, if you want it to be secure, that's apparently a whole other issue 447 00:22:35,905 --> 00:22:36,925 whenever it comes to vibe coding. 448 00:22:36,925 --> 00:22:37,165 But, 449 00:22:37,435 --> 00:22:42,265 well, you know, and, and really it's about knowing how to tell the computer 450 00:22:42,745 --> 00:22:44,665 very specifically what you want. 451 00:22:45,295 --> 00:22:46,645 And that's the tricky bit. 452 00:22:46,705 --> 00:22:48,805 That's what a lot of people don't realize about vibe coding. 453 00:22:48,805 --> 00:22:52,735 A lot of it is talking about in talking in algorithms not. 454 00:22:53,515 --> 00:22:55,915 Hey, I want a thing that does a thing that, with the stuff that 455 00:22:55,915 --> 00:22:57,955 puts this over here, you know, kind of vagaries like that. 456 00:22:57,985 --> 00:22:59,035 'cause it doesn't work. 457 00:22:59,035 --> 00:23:01,255 You've gotta say, okay, now make it do this now make it do that 458 00:23:01,255 --> 00:23:02,065 now make it do the other thing. 459 00:23:02,215 --> 00:23:05,775 And it's just, it's fun in a weird way, but it does take, it's 460 00:23:05,775 --> 00:23:06,765 a little skill in its own right. 461 00:23:06,975 --> 00:23:10,395 I think maybe the reason that I wanted to put this in for the news is that, 462 00:23:10,455 --> 00:23:15,945 uh, one of his most recent videos was, uh, during the, whatever they're 463 00:23:15,945 --> 00:23:20,845 calling the stupidity in Iran whenever that happened, basically he went back. 464 00:23:21,580 --> 00:23:24,430 Or while he was doing it, while it was going on, you know, let 465 00:23:24,430 --> 00:23:27,340 his agents focus on some of that. 466 00:23:27,850 --> 00:23:33,370 And so he put together a visualization, a timeline of essentially, you know, 467 00:23:33,370 --> 00:23:37,180 everything from shep movements to plane movements to uh, when the 468 00:23:37,180 --> 00:23:38,740 airspace were opening and closing. 469 00:23:38,740 --> 00:23:43,300 And of course, since it's all based on a virtual globe, you can, you 470 00:23:43,300 --> 00:23:47,020 know, watch these things as they're taking place and see the patterns 471 00:23:47,020 --> 00:23:48,970 that are happening in response to. 472 00:23:49,675 --> 00:23:50,815 The attacks. 473 00:23:51,115 --> 00:23:52,555 It's a pretty impressive little tool set. 474 00:23:52,555 --> 00:23:53,935 It does open up the, the mind. 475 00:23:53,935 --> 00:23:56,005 I think that, well, what could I make it do? 476 00:23:56,815 --> 00:23:57,145 Yeah. 477 00:23:57,175 --> 00:24:01,615 But isn't it also a little bit of the, the dream of the urban observatory, um, 478 00:24:01,615 --> 00:24:06,265 which I don't think has, has grown since, you know, but I still use it for things. 479 00:24:06,665 --> 00:24:09,575 But you know, just this idea that we can, we can see things live 480 00:24:09,575 --> 00:24:11,375 and, and know what's going on. 481 00:24:12,215 --> 00:24:12,485 Yeah. 482 00:24:12,485 --> 00:24:14,315 I mean, you know, Sue has talked about. 483 00:24:15,380 --> 00:24:16,490 Well watchdogs, right? 484 00:24:16,490 --> 00:24:20,120 In their we are data and their CD os, all of those things. 485 00:24:20,125 --> 00:24:21,455 I thought you were gonna say mini Tokyo 3D. 486 00:24:21,455 --> 00:24:21,775 What's that? 487 00:24:21,815 --> 00:24:22,135 I thought you were 488 00:24:22,135 --> 00:24:25,490 gonna say Mini Tokyo 3D Well, yeah, mini Tokyo 3D is, is, uh, another, 489 00:24:25,670 --> 00:24:26,750 I think, yeah, I think you're right. 490 00:24:26,750 --> 00:24:30,950 Bar with we've at the, with the technology we had in hand each time this, this 491 00:24:30,950 --> 00:24:34,640 has sort of been, envisioned by lots of people in different ways, right? 492 00:24:34,640 --> 00:24:39,590 We, we update to what we can do, and now, you know, we've got a new set of tools. 493 00:24:39,980 --> 00:24:42,860 And another comment from ABR is worldview's, the first attempt 494 00:24:42,860 --> 00:24:44,420 to make the thesis visible. 495 00:24:44,900 --> 00:24:47,840 And that thesis is we're building AI that understands the physical world, 496 00:24:47,840 --> 00:24:50,210 the way it understands text, right? 497 00:24:50,210 --> 00:24:56,960 So we keep adding each, each of these things into what is essentially, or even 498 00:24:56,960 --> 00:25:00,800 back to, you know, bill Gates' one-to-one digital earth kind of representation. 499 00:25:00,995 --> 00:25:02,645 So, yeah, 500 00:25:02,795 --> 00:25:04,565 so the, this is a whole topic. 501 00:25:04,715 --> 00:25:09,275 Um, but yeah, it does raise the issue of do we understand the world, the 502 00:25:09,275 --> 00:25:11,195 way we understand text as humans? 503 00:25:11,825 --> 00:25:12,755 Well, that's the thing, right? 504 00:25:12,755 --> 00:25:15,485 That's why we have visual language models, large language models. 505 00:25:15,905 --> 00:25:18,665 In theory, we're building spatial language models. 506 00:25:19,505 --> 00:25:19,805 Yeah. 507 00:25:19,805 --> 00:25:21,245 Or spatial models. 508 00:25:22,565 --> 00:25:22,715 I know 509 00:25:22,715 --> 00:25:23,225 what that would be. 510 00:25:24,065 --> 00:25:28,445 I'm not sure we understand it and I don't have confidence that AI will understand. 511 00:25:28,475 --> 00:25:29,375 Well, lemme put it this way. 512 00:25:29,675 --> 00:25:34,295 AI may be able to understand the earth the way it's, understands 513 00:25:34,295 --> 00:25:38,645 language, but I'm not sure the way it understands language is quite what. 514 00:25:39,365 --> 00:25:40,235 People think it is. 515 00:25:40,685 --> 00:25:44,075 Well, we don't think of the, we don't think of our concepts 516 00:25:44,075 --> 00:25:46,025 and discussions as tokens. 517 00:25:46,055 --> 00:25:47,615 We're not coming up with it. 518 00:25:48,185 --> 00:25:48,545 Okay? 519 00:25:48,635 --> 00:25:49,715 Now, that's not entirely true. 520 00:25:49,985 --> 00:25:54,005 Sometimes I'm coming with it word by word, but most of the time I'm 521 00:25:54,005 --> 00:25:55,475 coming in with most of a thought. 522 00:25:56,135 --> 00:25:57,575 Not putting it together as I'm going, 523 00:25:57,875 --> 00:25:59,945 but like I said, I don't wanna go too far down that road 'cause I 524 00:25:59,945 --> 00:26:01,175 think that's a whole nother topic. 525 00:26:01,175 --> 00:26:03,335 But it is an interesting idea to think about, you know? 526 00:26:03,515 --> 00:26:03,695 Yeah. 527 00:26:03,725 --> 00:26:06,965 'cause it gets into, is it understanding the world the way that we understand it. 528 00:26:06,965 --> 00:26:11,105 But what they're drawing from is, you know, that we, we don't really understand 529 00:26:11,105 --> 00:26:13,715 the world as much as we think we do, which is, you know, why we're, well. 530 00:26:14,500 --> 00:26:15,280 That's it for the news 531 00:26:20,260 --> 00:26:21,460 onto the web corner. 532 00:26:21,970 --> 00:26:26,960 Layers of the past is an interactive tool that's been created by the 533 00:26:26,990 --> 00:26:31,340 New York City Botanical Garden and the Urban Conservation Team. 534 00:26:31,670 --> 00:26:35,810 That allows you to access over 200 geo-referenced historical maps of New 535 00:26:35,810 --> 00:26:40,310 York City, and it lets you explore the evolving geography infrastructure 536 00:26:40,310 --> 00:26:41,480 and neighborhoods over time. 537 00:26:41,780 --> 00:26:45,500 Um, in many ways it's a deep map that allows researchers, educators, 538 00:26:45,500 --> 00:26:49,130 and also people that are working on their genealogy to go in and 539 00:26:49,130 --> 00:26:51,350 understand the past and context today. 540 00:26:51,630 --> 00:26:57,150 And they're hoping that, um, the historical cartography can inform 541 00:26:57,150 --> 00:26:59,820 contemporary understandings of New York City from different perspective. 542 00:27:00,690 --> 00:27:03,720 Um, and if you go in and and use it, it's, you know, pretty cool. 543 00:27:03,720 --> 00:27:10,590 It's, you know, similar to what Boston has created when they have that spyglass view, 544 00:27:10,950 --> 00:27:16,470 um, that overlays the different layers and information and they're going to be 545 00:27:16,470 --> 00:27:21,240 releasing additional maps and features on a quarterly basis to build this up. 546 00:27:21,570 --> 00:27:25,230 So it's pretty cool to use and, you know, move around and look at. 547 00:27:26,805 --> 00:27:29,115 I'm liking this resurgence of these things. 548 00:27:29,115 --> 00:27:32,625 So, you know, I'm thinking of the tools that David Rumsey built for David 549 00:27:32,625 --> 00:27:36,705 rumsey.com, like all of his maps and stuff, but, but sometimes you want the, 550 00:27:36,705 --> 00:27:41,565 the targeted sort of thing and, and a number of different, of these types of, 551 00:27:41,655 --> 00:27:46,365 of projects related to New York City, like the old NYC photos, some other things 552 00:27:46,365 --> 00:27:47,565 that the New York Public Library did. 553 00:27:47,775 --> 00:27:48,495 These are great. 554 00:27:48,945 --> 00:27:51,385 Uh, and seeing the maps kind of overlaid. 555 00:27:51,385 --> 00:27:52,675 So a cool little tool. 556 00:27:53,155 --> 00:27:54,175 I think in later years. 557 00:27:54,175 --> 00:27:56,995 More recently, the collection has been geo-referenced as 558 00:27:56,995 --> 00:27:57,920 well, so you kind of get that. 559 00:27:58,405 --> 00:28:00,265 What collection that capability? 560 00:28:00,325 --> 00:28:01,285 The David Ramon collection. 561 00:28:01,375 --> 00:28:01,645 Oh, yeah. 562 00:28:01,645 --> 00:28:02,605 No, they've done that for a while. 563 00:28:02,695 --> 00:28:03,340 Yeah, yeah, yeah. 564 00:28:03,445 --> 00:28:06,925 But so you, you can bring it in and, and compare maps and those type of things. 565 00:28:11,275 --> 00:28:11,515 Okay. 566 00:28:11,575 --> 00:28:17,605 So this week's main topic is really kind of an extension of our news items 567 00:28:17,605 --> 00:28:23,185 because it's really just the fact that this year at Geo Week, there 568 00:28:23,185 --> 00:28:26,335 was a, a fairly substantial focus on. 569 00:28:27,130 --> 00:28:32,580 The use of terrestrial mapping and a lot of it's, uh, things like slam terrestrial 570 00:28:32,580 --> 00:28:37,350 lidar you know, just using all those pictures that we have from you know, 571 00:28:37,350 --> 00:28:40,410 the cars driving around and collecting pictures in urban areas and such. 572 00:28:40,890 --> 00:28:44,370 And so there's a lot of data out there and we're creating more all the time 573 00:28:44,610 --> 00:28:48,330 and we're creating new technologies to correct create and collect. 574 00:28:48,780 --> 00:28:51,300 Higher resolution, local terrestrial data. 575 00:28:51,990 --> 00:28:55,170 And so I think it's just a question of, you know, what are your thoughts? 576 00:28:55,170 --> 00:28:58,470 And I think this is gonna be a really short one, um, especially given how 577 00:28:58,470 --> 00:29:02,940 long we talked about other newses, but what are your thoughts on where we're 578 00:29:02,940 --> 00:29:04,410 heading with terrestrial right now? 579 00:29:04,740 --> 00:29:05,430 I think the. 580 00:29:06,375 --> 00:29:07,845 Biggest challenge. 581 00:29:08,145 --> 00:29:11,085 And ironically enough, I think we have a structure that that was sort of 582 00:29:11,205 --> 00:29:13,155 philosophically designed to handle it. 583 00:29:13,575 --> 00:29:16,815 But the biggest challenge is, is that, I don't wanna call it quite 584 00:29:16,815 --> 00:29:21,075 a gra grassroots, but it's the best analogy, effort here, right? 585 00:29:21,075 --> 00:29:24,855 So people are working hyperlocal when they're doing this and creating 586 00:29:24,855 --> 00:29:30,855 data for their very specific purposes and and weaving this together into. 587 00:29:31,950 --> 00:29:35,550 Something a little more cohesive or, or more broadly 588 00:29:35,550 --> 00:29:37,920 based is really the challenge. 589 00:29:38,430 --> 00:29:42,330 More and more companies are doing things that allow for that, but I kind of feel 590 00:29:42,330 --> 00:29:48,885 like we're ending up with a few, I, I guess walled gardens is the, I. Proper 591 00:29:48,885 --> 00:29:54,995 term to use that it's, it's hard to work across space outside of the hyperlocal. 592 00:29:55,745 --> 00:29:58,865 And that's when I think things get really exciting when they bubble up. 593 00:29:58,985 --> 00:30:02,975 And, and I was thinking of the national map as sort of the. 594 00:30:04,055 --> 00:30:09,905 Philosophical prototype of what they were trying to do 20 something years ago of 595 00:30:10,385 --> 00:30:15,095 getting data from all these local areas into a one big map that you can kind of 596 00:30:15,095 --> 00:30:20,915 drill down and do, and never really panned out for a whole lot of, in my opinion. 597 00:30:20,915 --> 00:30:23,195 It didn't pan out for a whole lot of organizational reasons, not 598 00:30:23,200 --> 00:30:25,655 necessarily tech, but there are some technical reasons behind it. 599 00:30:25,655 --> 00:30:30,095 But I think this is a really exciting thing that I kind of feel 600 00:30:30,095 --> 00:30:33,275 like maybe the, this, you know. 601 00:30:33,665 --> 00:30:34,625 Terrestrial mapping. 602 00:30:34,955 --> 00:30:38,735 I kind of feel like this may end up being our location based services thing, 603 00:30:39,305 --> 00:30:42,995 like, you know, 15 odd years later we're saying that's about ready to break out. 604 00:30:42,995 --> 00:30:44,135 It's about ready to break out. 605 00:30:44,135 --> 00:30:47,885 I, I think any day now it could just reverberate if we can tackle 606 00:30:47,885 --> 00:30:51,455 this, how do you integrate this stuff usefully, meaningfully 607 00:30:51,755 --> 00:30:53,945 Well, and and you also have that con that conversation. 608 00:30:53,945 --> 00:30:54,545 I think that. 609 00:30:55,250 --> 00:30:58,100 Um, whenever we're talking about terrestrial mapping, it gives you 610 00:30:58,100 --> 00:31:01,610 the idea of that, that slide side looking camera and those type of 611 00:31:01,610 --> 00:31:03,410 things, uh, that are on the ground. 612 00:31:03,410 --> 00:31:06,800 But it's equally the high resolution drone data, right? 613 00:31:06,800 --> 00:31:11,090 Because you're flying a hundred feet, 200 feet, you're specifically using 614 00:31:11,090 --> 00:31:15,440 it to oftentimes capture buildings as they're being constructed or site mon 615 00:31:15,540 --> 00:31:19,650 modification, those type of things that are very much terrestrial activities. 616 00:31:19,650 --> 00:31:20,130 You're looking at them. 617 00:31:20,805 --> 00:31:22,185 Repeatedly over time. 618 00:31:22,425 --> 00:31:27,255 And so it has the same kind of experience as the on the ground terrestrial mapping, 619 00:31:27,735 --> 00:31:31,035 but, you know, just low elevation, aerial. 620 00:31:31,365 --> 00:31:32,955 So I, I think I would include that in there. 621 00:31:32,955 --> 00:31:34,995 And so yeah, definitely whenever we're looking at things like open 622 00:31:34,995 --> 00:31:39,435 drone map, no weight, that's the software, is it open aerial map? 623 00:31:39,435 --> 00:31:42,225 That's the place that you can put drone images? 624 00:31:42,255 --> 00:31:42,615 I don't know. 625 00:31:42,615 --> 00:31:43,455 I can't remember right now. 626 00:31:44,205 --> 00:31:46,755 But yeah, there's a, there's a platform that allows you to do that. 627 00:31:48,045 --> 00:31:50,085 Which I would argue is part of the problem, right? 628 00:31:50,085 --> 00:31:53,055 Is the fact that what is the thing that has, the thing that Elijah 629 00:31:53,055 --> 00:31:55,755 put this, you know, there's a lot of these different subsystems 630 00:31:55,755 --> 00:31:57,945 that are creating this complexity. 631 00:31:58,425 --> 00:32:04,125 One of the quotes that I really liked from the, um, CEO of Pix four D was 632 00:32:04,125 --> 00:32:08,295 we were focusing on turning, hitting infrastructure on functional data, and 633 00:32:08,295 --> 00:32:10,185 they're using a lot of augmented reality. 634 00:32:10,185 --> 00:32:14,085 And I wanna say it's about time, just not because, um. 635 00:32:15,080 --> 00:32:19,640 No one was doing it, but just that, you know, infrastructure is so hard to capture 636 00:32:19,640 --> 00:32:21,860 and to work with and it's so necessary. 637 00:32:22,070 --> 00:32:25,760 So anything that makes people's lives easier in order to see it and work with 638 00:32:25,760 --> 00:32:29,380 it, and they're talking about trenches and things like that you know, just 639 00:32:29,380 --> 00:32:33,030 is a really good use of, you know, the, the technology and where we are. 640 00:32:34,300 --> 00:32:37,900 Well, I think this is, this has been like the, the dilemma, right? 641 00:32:37,900 --> 00:32:41,270 That we've seen evolve the overhead view. 642 00:32:42,150 --> 00:32:45,240 Where our data capture and remote sensing and stuff like that has been 643 00:32:45,240 --> 00:32:50,100 very, gotten increasingly better, but, but very good versus the ground, right? 644 00:32:50,100 --> 00:32:53,580 You, the, the map, uh, essentially comes out from you. 645 00:32:53,640 --> 00:32:57,120 It was an old quote from, um, what is it, Michael Jones from Google, right? 646 00:32:57,120 --> 00:33:00,150 Where the one start of, of street view and things like that was, you are 647 00:33:00,150 --> 00:33:03,300 the map, but, but now you're talking about reconciling that in the data 648 00:33:03,300 --> 00:33:06,180 collection and it was so expensive to do. 649 00:33:07,050 --> 00:33:09,540 Uh, when there wasn't, you know, and time consuming, right? 650 00:33:09,540 --> 00:33:14,190 So a lot of that expenses in labor of, you know, surveying and, and those 651 00:33:14,190 --> 00:33:15,870 types of techniques on the ground. 652 00:33:16,260 --> 00:33:19,740 Uh, but being able to combine, like you have your, your remote 653 00:33:19,740 --> 00:33:22,350 sensing from higher altitudes. 654 00:33:22,350 --> 00:33:26,000 You've got your, your remote sensing now a drone based and, 655 00:33:26,000 --> 00:33:27,290 and other technologies like that. 656 00:33:27,290 --> 00:33:31,280 And then you have the ground layer where increasingly you have the technology 657 00:33:31,280 --> 00:33:34,490 to get What was all of that stuff that. 658 00:33:34,970 --> 00:33:36,800 Is essentially perpendicular to the ground. 659 00:33:36,800 --> 00:33:41,870 So not easy to capture it, its depth right in that third dimension. 660 00:33:42,320 --> 00:33:46,130 Um, it can be done somewhat with, with remotely sense data from the top 661 00:33:46,130 --> 00:33:49,760 view, but to really capture it, to capture its nooks and crannies, uh, 662 00:33:49,760 --> 00:33:51,560 at the, the scale that we need it. 663 00:33:51,560 --> 00:33:51,740 Right? 664 00:33:51,740 --> 00:33:53,630 So it's a question of scale now. 665 00:33:53,660 --> 00:33:58,070 I think we're finally seeing the use case, um, mesh with the technology, 666 00:33:58,520 --> 00:34:01,610 uh, and the speed at which the technology can now do it right to, 667 00:34:01,970 --> 00:34:03,980 to alleviate some of that bottleneck. 668 00:34:04,400 --> 00:34:07,760 Uh, and eventually right to have our hyper-local things as people add the 669 00:34:07,760 --> 00:34:11,750 pieces, like Frank mentioned with the national map, to eventually sew 670 00:34:11,750 --> 00:34:15,050 in the pieces of the quilt so that we don't have these islands that 671 00:34:15,050 --> 00:34:18,560 are so far away from each other as as we do more and more, right? 672 00:34:18,560 --> 00:34:23,840 We can stitch that mosaic together at the highest scales in all three dimensions. 673 00:34:24,680 --> 00:34:27,560 And it's not that I don't think the desire was there, 'cause I've been 674 00:34:27,560 --> 00:34:32,690 in sessions, um, where, you know, you, they were talking about similar 675 00:34:32,900 --> 00:34:36,290 technologies and uses, but like you said, it was always very time intensive 676 00:34:36,290 --> 00:34:37,700 and also it was very expensive. 677 00:34:38,150 --> 00:34:43,220 And once people, people in a municipality or a company here, this is how many man 678 00:34:43,220 --> 00:34:47,360 hours it's gonna take and, and how long it's gonna take and how expensive it's 679 00:34:47,360 --> 00:34:49,130 going to be, they always like backed off. 680 00:34:49,490 --> 00:34:53,000 Even if it was going to be, you know, very useful for what they were trying 681 00:34:53,000 --> 00:34:56,690 to do, and I think this is going to make it more likely, like you said, that you 682 00:34:56,690 --> 00:35:00,890 know, you sue those pe so those pieces of the quilt together and everyone benefits. 683 00:35:02,000 --> 00:35:04,700 I think that is one issue that we're still facing is that, you 684 00:35:04,700 --> 00:35:07,580 know, whether we're talking about slam, we're talking about lidar, um, 685 00:35:07,580 --> 00:35:11,360 whatever it is, you know, whatever specific aspect of these technologies 686 00:35:11,360 --> 00:35:13,070 that we're talking about, short of. 687 00:35:13,425 --> 00:35:17,115 Structure for motion or glosson plats where it's, you know, just a traditional 688 00:35:17,115 --> 00:35:18,675 camera that you're using to do it with. 689 00:35:19,215 --> 00:35:24,345 It's just, it's really expensive and as soon as you know, one of these 690 00:35:24,345 --> 00:35:26,625 technologies becomes a lot less expensive. 691 00:35:27,165 --> 00:35:27,765 Talk to me. 692 00:35:27,825 --> 00:35:31,605 I will be out there the next day and getting our facilities 693 00:35:31,605 --> 00:35:33,075 folks to, to start using it. 694 00:35:33,105 --> 00:35:37,675 'cause they're still relying on GPS whenever we have a you know, 695 00:35:37,795 --> 00:35:41,275 a hole open with something in it, they're going out and GPSing it. 696 00:35:41,275 --> 00:35:45,515 Or having me go out and do an aerial image of it if it's a large of hole so 697 00:35:45,515 --> 00:35:48,275 that we can, you know, have it in there. 698 00:35:48,275 --> 00:35:51,155 So the next time somebody needs to build something there, we'll 699 00:35:51,155 --> 00:35:56,150 know where the pipes are, but it's a. It's a cost thing, right? 700 00:35:56,210 --> 00:36:03,210 We can't afford to have a $60,000 LIDAR device sitting around 701 00:36:03,210 --> 00:36:04,410 waiting for that next project. 702 00:36:05,310 --> 00:36:07,290 Well, it's kinda like we've gone back around again, right? 703 00:36:07,320 --> 00:36:11,550 Because, uh, you know, you used to have the data pyramid that basically talked 704 00:36:11,550 --> 00:36:16,340 about you know, it was a normal looking pyramid, and you would have at the top 705 00:36:16,340 --> 00:36:19,160 the localities that were, you know. 706 00:36:20,510 --> 00:36:22,910 Producing things, really the private citizen, not the 707 00:36:22,910 --> 00:36:24,170 legality, just producing things. 708 00:36:24,170 --> 00:36:27,380 And it was sort of expand out to the sort of federal governmental level. 709 00:36:27,740 --> 00:36:30,050 We're the ones producing most of the data, and then what happened? 710 00:36:30,050 --> 00:36:30,530 One. 711 00:36:31,100 --> 00:36:34,280 You know, location-based services and the cell phone and all that stuff took off. 712 00:36:34,280 --> 00:36:35,210 That flipped it. 713 00:36:35,270 --> 00:36:40,490 So now the people producing most of the data are private citizens that are 714 00:36:40,490 --> 00:36:44,090 just volunteer geographic information and people like that putting out stuff. 715 00:36:44,450 --> 00:36:48,320 And governments using the data, not producing the data quite as much. 716 00:36:48,320 --> 00:36:50,600 This is a gross generalization, but it's kind of what happened 717 00:36:50,605 --> 00:36:52,190 with the that data period. 718 00:36:52,190 --> 00:36:53,510 Now we kind of flip back, right? 719 00:36:53,780 --> 00:36:54,140 So that. 720 00:36:55,640 --> 00:36:58,310 On the terrestrial side, it's the governments that are doing 721 00:36:58,310 --> 00:37:01,550 that, and there's a very definite divide between have and have nots. 722 00:37:01,550 --> 00:37:05,150 You're not gonna see a very poor county that's putting out a lot of 723 00:37:05,150 --> 00:37:08,990 data at this scale, on this level, because of just what you said, Jesse. 724 00:37:08,990 --> 00:37:13,220 It costs too much money to acquire the equipment or to even hire a company who 725 00:37:13,220 --> 00:37:15,440 has acquired the equipment to come do it. 726 00:37:15,500 --> 00:37:19,280 And the use case is a lot harder to make when there are more fundamental 727 00:37:19,280 --> 00:37:21,920 structural problems that need to be dealt with, like education or. 728 00:37:22,225 --> 00:37:25,825 Water or whatever it is that these counties are struggling with, whereas 729 00:37:26,275 --> 00:37:31,885 someplace like New York City or Boston or DC probably has better access to this 730 00:37:31,885 --> 00:37:34,315 type of technology, uh, if they want to. 731 00:37:34,975 --> 00:37:38,515 So it's kind of interesting that we're going back to see these sort of 732 00:37:38,515 --> 00:37:42,655 richer governmental, uh, scales being the main producers because of the 733 00:37:42,655 --> 00:37:46,555 sheer cost of production is so high. 734 00:37:47,335 --> 00:37:51,445 But just like every other technology we've ever dealt with, you know, it. 735 00:37:52,535 --> 00:37:55,775 Everything is expensive until they figure out how to make it 736 00:37:55,775 --> 00:37:57,455 less expensive or inexpensive. 737 00:37:57,755 --> 00:38:01,625 A cell phone used to be, you know, just for the rich, but now everyone's got one. 738 00:38:01,625 --> 00:38:06,275 So it's just takes time to make that, that, you know, 739 00:38:06,275 --> 00:38:07,685 evolution of the technology. 740 00:38:07,715 --> 00:38:12,065 Yeah, and I think some of that will be, uh, as I was kind of alluding to 741 00:38:12,065 --> 00:38:17,705 earlier, is that some of that line will be crossed when you see so much. 742 00:38:18,965 --> 00:38:22,055 Benefit in shrinking the time it takes, right? 743 00:38:22,055 --> 00:38:27,545 So the human labor time versus the, the initial outlay of the technology. 744 00:38:27,815 --> 00:38:31,475 And I think that that's, that's where we're approaching with some of this. 745 00:38:32,225 --> 00:38:35,765 And, and you can get a complete picture maybe with one time through 746 00:38:35,765 --> 00:38:39,095 that, have a multiple uses, right? 747 00:38:39,155 --> 00:38:40,385 Once that date is acquired. 748 00:38:42,545 --> 00:38:45,845 Yeah, Sue, like, I don't know how much it costs, but Mn GX one 749 00:38:45,845 --> 00:38:50,525 has created an all-in-one slam lidar RTK 360 imagery scanner. 750 00:38:50,855 --> 00:38:54,935 Um, but they're saying that it can reduce the time to survey a site 751 00:38:54,935 --> 00:39:00,095 by up to 95% so that you can do in a single day, which would've you 752 00:39:00,095 --> 00:39:01,865 would've done in weeks worth of work. 753 00:39:02,435 --> 00:39:06,275 So, I mean, I don't know if that, that claim is, you know, accurate, 754 00:39:06,575 --> 00:39:10,295 but even if it's an exaggeration, that's still really impressive. 755 00:39:10,655 --> 00:39:13,115 Um, but then looking at it, it's, it's, you know, like a 756 00:39:13,115 --> 00:39:15,905 futuristic looking survey tool. 757 00:39:15,905 --> 00:39:19,055 When you see it you know, and you go, well, how much money is 758 00:39:19,055 --> 00:39:20,675 that gonna cost to get just one? 759 00:39:22,445 --> 00:39:27,875 And, and even if it is, you know, there's a, a lot of managers are looking at it and 760 00:39:27,875 --> 00:39:32,735 going, I'm paying this person to do this work and giving them more efficient tool. 761 00:39:32,855 --> 00:39:36,365 I still gotta pay the salary and the, you know, the overhead and the f and a 762 00:39:36,365 --> 00:39:39,725 and the, you know, all that stuff, the health insurance that comes with it. 763 00:39:40,115 --> 00:39:44,555 So there's not a lot of incentive necessarily to not throw 764 00:39:44,555 --> 00:39:46,565 labor hours at a problem yet. 765 00:39:47,000 --> 00:39:49,910 Now at some point that flips where it's cheap enough that you 766 00:39:49,910 --> 00:39:50,780 go, well, okay, wait a minute. 767 00:39:50,780 --> 00:39:52,130 This makes a lot more sense. 768 00:39:52,880 --> 00:39:56,360 But it has the flip side of it that you didn't tend then tend to 769 00:39:56,360 --> 00:40:01,130 reduce labor, which has other issues that go beyond this technology. 770 00:40:01,730 --> 00:40:03,800 But I think what's gonna end up happening is I think we're gonna 771 00:40:03,800 --> 00:40:05,570 produce a whole heck of a lot of stuff. 772 00:40:06,185 --> 00:40:07,715 And there's another issue we haven't really talked about, 773 00:40:07,715 --> 00:40:09,725 which is interoperability, right? 774 00:40:09,965 --> 00:40:14,735 So every one of these projects are done for a specific purpose. 775 00:40:14,735 --> 00:40:18,455 They have a specific use case and a specific problem they're trying 776 00:40:18,455 --> 00:40:22,805 to address, and they're using this technology in a way that helps them 777 00:40:22,805 --> 00:40:24,995 solve the problem hopefully successfully. 778 00:40:25,955 --> 00:40:28,955 Even then, we know with technology, a lot of times people throw technology 779 00:40:28,955 --> 00:40:30,515 at it and use it improperly. 780 00:40:30,635 --> 00:40:31,505 Either way. 781 00:40:31,805 --> 00:40:36,485 You end up with all these bits of data that in theory, even if it's using the 782 00:40:36,485 --> 00:40:42,215 same, you know, GX one camera system that uses the same data formats, 783 00:40:42,785 --> 00:40:47,045 they're for different purposes and they don't necessarily mesh well together. 784 00:40:47,045 --> 00:40:50,705 So when you want somebody who can look at this downstream like, what we, we 785 00:40:50,705 --> 00:40:54,755 would like necessarily, it doesn't always work because getting these things that. 786 00:40:55,670 --> 00:40:56,690 Don't have harmony. 787 00:40:56,690 --> 00:41:02,780 A purpose to integrate is such a nightmare, and that's something I 788 00:41:02,780 --> 00:41:04,100 think is gonna be a real problem. 789 00:41:04,490 --> 00:41:06,830 Once we even get the techno, once we get the technology down, 790 00:41:06,830 --> 00:41:07,760 then we can produce the data. 791 00:41:07,760 --> 00:41:08,685 It's gonna make that even worse. 792 00:41:11,780 --> 00:41:14,540 Yeah, I think that's one of the challenges is a lot of these look 793 00:41:14,540 --> 00:41:19,890 proprietary proprietary in data and in system and in technology. 794 00:41:20,280 --> 00:41:24,030 Um, because we're, we're still at the stage where everyone is, is trying 795 00:41:24,030 --> 00:41:27,970 to gain, you know, their market share of this you know, which we've seen in 796 00:41:27,970 --> 00:41:32,350 the past with, with other stages and, you know, geospatial technologies. 797 00:41:33,775 --> 00:41:39,325 How does this tie into the, the broader category of reality capture that multiple 798 00:41:39,325 --> 00:41:44,875 companies, Autodesk, Esri, et cetera, are trying to, to highlight right now? 799 00:41:46,375 --> 00:41:49,075 My thought, of course, is that it, it is one in the same. 800 00:41:49,075 --> 00:41:51,085 It's, uh, about that it's not. 801 00:41:51,925 --> 00:41:55,615 Quite to the point of trying to do a, a complete twin where we want to 802 00:41:55,705 --> 00:41:59,635 have real time updates of sensors and things like that, tying into it. 803 00:41:59,635 --> 00:42:03,445 But, you know, it, it is still giving us these snapshots, uh, more readily 804 00:42:03,445 --> 00:42:05,035 than we we may have had in the past. 805 00:42:05,965 --> 00:42:09,565 I think it is on the basic assumption of. 806 00:42:10,705 --> 00:42:12,175 More data, more better. 807 00:42:12,385 --> 00:42:12,715 Right. 808 00:42:12,745 --> 00:42:14,365 Is that okay if we produce? 809 00:42:14,695 --> 00:42:18,655 I agree with you that it is essentially just making more data to try to 810 00:42:18,655 --> 00:42:22,825 hit a specific data category that isn't necessarily being filled. 811 00:42:23,155 --> 00:42:27,265 I'm not sure if the real time, which would be the dream of course, but even now, 812 00:42:27,265 --> 00:42:31,915 just getting a one-to-one representation of everything everywhere at one time 813 00:42:31,915 --> 00:42:33,985 shot would be a miracle in its own right. 814 00:42:33,985 --> 00:42:35,815 And I think this is an attempt to get to that. 815 00:42:36,265 --> 00:42:40,735 Even if you have to do time slices that update every end number of months or 816 00:42:40,735 --> 00:42:43,755 years or decades it gets you somewhere. 817 00:42:43,755 --> 00:42:50,385 I think this is an, an attempt to do that to, to make reality in a virtual sense. 818 00:42:51,420 --> 00:42:51,720 Okay. 819 00:42:51,720 --> 00:42:52,560 So that was kind of it. 820 00:42:52,560 --> 00:42:57,420 Like I said, it was a, a thing that just was very prevalent in the at 821 00:42:57,420 --> 00:43:02,950 least white papers and press releases that came out of Geo Week this year. 822 00:43:03,730 --> 00:43:07,090 And so it just seems like an interesting thing to, to chat about for a moment. 823 00:43:07,900 --> 00:43:09,820 I just, I just wanna post script and say, even though I knocked 824 00:43:09,820 --> 00:43:10,990 out a bunch, I really want it. 825 00:43:10,990 --> 00:43:11,470 I really want it. 826 00:43:11,470 --> 00:43:11,670 Give it to me. 827 00:43:12,520 --> 00:43:13,570 Yeah, I mean, that's kind of it, right? 828 00:43:15,280 --> 00:43:20,290 As soon as somebody can give, can give me a price that I can take advantage 829 00:43:20,290 --> 00:43:26,800 of or a, an off, an open access, open source, um, creation of the 830 00:43:26,800 --> 00:43:29,890 products that I can take the time. 831 00:43:29,890 --> 00:43:31,960 And that's where the biggest problem comes, uh, take the 832 00:43:31,960 --> 00:43:32,835 time to put together myself. 833 00:43:33,625 --> 00:43:36,385 I'll be there, but we're not there yet. 834 00:43:40,555 --> 00:43:44,125 Onto the events corner, as always, go to some events. 835 00:43:44,485 --> 00:43:48,895 We'll be in, uh, a, a g, Sue and I probably, maybe, I don't know. 836 00:43:49,195 --> 00:43:53,875 It's, it's still iffy with it only two weeks away with everything going on 837 00:43:53,935 --> 00:43:55,705 in the world, but we might be there. 838 00:43:55,705 --> 00:43:57,175 So if you see us say hi. 839 00:43:58,900 --> 00:44:02,170 However, if things calm down a little bit June 3rd and fourth in London, 840 00:44:02,170 --> 00:44:04,660 you can check out Geo Business 2026. 841 00:44:06,160 --> 00:44:11,560 State of the Map 2026 is taking place August 28th through 30th in Paris 842 00:44:12,430 --> 00:44:17,860 Geo Week 2027 will be February 23rd through the 27th in Salt Lake City, Utah. 843 00:44:18,310 --> 00:44:19,780 And this is a new location for them. 844 00:44:19,780 --> 00:44:24,620 Of course, they've been in Colorado for previous weeks, I believe always. 845 00:44:25,250 --> 00:44:26,990 But now we're looking at Salt Lake City. 846 00:44:27,800 --> 00:44:31,820 Not, not to talk smack about Utah, but I gotta say two of those locations sound 847 00:44:31,820 --> 00:44:33,110 a little cooler than the other one. 848 00:44:35,960 --> 00:44:38,960 I mean, if you wanna go skiing, I guess, you know, February and Salt 849 00:44:38,960 --> 00:44:40,040 Lake wouldn't be terrible, but 850 00:44:40,610 --> 00:44:41,090 that's true. 851 00:44:41,870 --> 00:44:42,230 I still, 852 00:44:42,230 --> 00:44:44,000 other than the elevation, but anyway, that's 853 00:44:44,000 --> 00:44:44,240 similar. 854 00:44:44,240 --> 00:44:44,300 Yeah. 855 00:44:44,330 --> 00:44:47,510 It still, it still brings the same questions for me as Denver. 856 00:44:48,275 --> 00:44:49,235 Will you get snowed in? 857 00:44:49,655 --> 00:44:50,675 But that's, that's just me. 858 00:44:51,245 --> 00:44:51,605 Of course. 859 00:44:51,605 --> 00:44:53,435 If you'd like us to add your event to the podcast, send us an 860 00:44:53,435 --> 00:44:55,025 email to podcast@veryspatial.com. 861 00:44:55,775 --> 00:44:59,285 If you'd like to reach us individually, I can be reached at sue@veryspatial.com. 862 00:45:00,155 --> 00:45:01,715 I'm barb@veryspatial.com. 863 00:45:01,925 --> 00:45:03,995 You can reach me atFrank@veryspatial.com. 864 00:45:04,415 --> 00:45:07,325 I'm available at Kindness Spatial, and of course, you can find all 865 00:45:07,325 --> 00:45:10,475 of our contact information over at very spatial.com/contacts. 866 00:45:11,810 --> 00:45:13,520 As always, we're the folks in very 867 00:45:13,520 --> 00:45:14,000 spatial. 868 00:45:14,000 --> 00:45:14,690 Thanks for listening. 869 00:45:15,050 --> 00:45:15,885 We'll see you in a couple weeks. 870 00:45:20,235 --> 00:45:20,525 Crop 871 00:45:30,405 --> 00:45:33,765 feelings, chasing me on the road. 872 00:45:41,045 --> 00:45:41,735 It's not fair. 873 00:45:42,635 --> 00:45:44,415 Wonder, anybody 874 00:45:48,435 --> 00:45:48,855 inside 875 00:45:52,235 --> 00:45:52,455 God 876 00:45:59,065 --> 00:45:59,415 books? 877 00:46:00,135 --> 00:46:00,535 I don't 878 00:46:04,835 --> 00:46:05,255 scream. 879 00:46:37,430 --> 00:46:42,710 Free ride in the front seat, but about another ticket for the nose 880 00:46:42,710 --> 00:46:46,340 pleases because so ain't cheap. 881 00:46:46,670 --> 00:46:49,520 Take the city outta me to the country. 882 00:46:50,240 --> 00:46:52,850 Nothing personal. 883 00:46:53,425 --> 00:46:54,515 Talk behind my back. 884 00:46:54,695 --> 00:46:55,635 So comfortable. 885 00:46:56,870 --> 00:46:59,195 Keep it up, let it go. 886 00:47:22,250 --> 00:47:22,340 God.