1 00:00:00,210 --> 00:00:05,490 You're listening to A Very spatial podcast, episode 761 May 26th, 2025, 2 00:00:14,190 --> 00:00:15,180 built City. 3 00:00:15,660 --> 00:00:17,430 Hello and welcome to A Very spatial podcast. 4 00:00:17,430 --> 00:00:19,260 This is Frank and this is Barb. 5 00:00:19,620 --> 00:00:23,760 Jesse and Sue are world travelers this week, and unfortunately can't join us. 6 00:00:23,760 --> 00:00:26,730 They're having a wonderful time, as I guess from the pictures 7 00:00:26,730 --> 00:00:28,800 I see on Instagram in Japan. 8 00:00:29,159 --> 00:00:30,299 They're up doing geography. 9 00:00:30,509 --> 00:00:30,659 Yeah. 10 00:00:30,659 --> 00:00:33,060 Hopefully whenever they come back, we can have a nice episode where they 11 00:00:33,060 --> 00:00:36,330 get to talk a little bit about what has they experienced and, and you 12 00:00:36,330 --> 00:00:40,080 know, what their, what their trip was all about and what they got to 13 00:00:40,080 --> 00:00:41,069 experience and all this sort of stuff. 14 00:00:41,069 --> 00:00:42,239 So that's pretty cool. 15 00:00:42,840 --> 00:00:47,890 But this week Barbara and I are gonna cover a an epic amount of news. 16 00:00:47,890 --> 00:00:50,500 This, I think maybe this may be the most news this is we've 17 00:00:50,500 --> 00:00:51,670 ever done in a single episode. 18 00:00:52,030 --> 00:00:52,510 Ever. 19 00:00:52,760 --> 00:00:53,120 So. 20 00:00:53,795 --> 00:00:54,545 Strap in. 21 00:00:54,635 --> 00:00:56,885 Hang on, get yourself something to drink. 22 00:00:57,105 --> 00:00:57,975 Here we go. 23 00:00:58,515 --> 00:01:02,505 Geocaching, the hobby that involves geography and going out into 24 00:01:02,505 --> 00:01:06,765 the world looking for things is celebrating its 25th anniversary. 25 00:01:06,985 --> 00:01:10,975 And Geo Woodstock 21 took place in Morgantown right here. 26 00:01:11,375 --> 00:01:13,085 And we got to experience it. 27 00:01:13,145 --> 00:01:14,225 Morgantown, West Virginia. 28 00:01:14,255 --> 00:01:16,985 For those of those, those of you not familiar with West Virginia 29 00:01:17,555 --> 00:01:21,155 and it is a giga event and there were 20. 30 00:01:21,640 --> 00:01:26,750 Five countries represented lots of families out geocaching 31 00:01:26,750 --> 00:01:29,640 going to events related to it. 32 00:01:29,640 --> 00:01:32,730 Lots of friends and older people. 33 00:01:32,730 --> 00:01:34,350 Just, it was a huge event. 34 00:01:34,410 --> 00:01:35,610 It looked like a lot of fun. 35 00:01:35,610 --> 00:01:39,390 We didn't get a chance to go, but we got to see everyone out in the wild 36 00:01:39,390 --> 00:01:42,610 as it were looking for cases around. 37 00:01:42,890 --> 00:01:45,140 So the next event. 38 00:01:45,180 --> 00:01:46,470 Was announced. 39 00:01:46,470 --> 00:01:48,630 I'm not sure where it's going to take place. 40 00:01:48,940 --> 00:01:52,990 But if you haven't got a chance to try this out as a hobby, why not go 41 00:01:52,990 --> 00:01:58,030 out and just sort of celebrate this is the 25th year of this type of event. 42 00:01:58,660 --> 00:02:02,830 You, you know, really this is a kind of a, it's not dissimilar to say 43 00:02:02,830 --> 00:02:05,440 birdwatching for, you know, geo nerds. 44 00:02:05,440 --> 00:02:06,730 I mean, really it's just going out. 45 00:02:06,895 --> 00:02:08,725 Hiking, walking around. 46 00:02:08,730 --> 00:02:12,995 In, in, in this particular case, it was walking around town interacting 47 00:02:13,045 --> 00:02:17,095 enjoying a bit of the scenery, and then you went looking for, you know, 48 00:02:17,095 --> 00:02:20,095 this case and it has a little thing and then, you know, you leave it or 49 00:02:20,095 --> 00:02:21,715 you take it or whatever the rules are. 50 00:02:21,715 --> 00:02:25,015 I don't, I don't do it, so I don't know all the rules, but it's a great 51 00:02:25,015 --> 00:02:29,175 way to get out and enjoy the weather and enjoy the landscape a bit. 52 00:02:29,510 --> 00:02:33,590 And unlike birds, it's is a hobby where a lot of people get involved by actually 53 00:02:33,890 --> 00:02:35,930 making the, the caches themselves. 54 00:02:35,930 --> 00:02:37,070 And a lot of them are designed. 55 00:02:37,070 --> 00:02:40,550 There was one that was like a snoopy on top of his doghouse. 56 00:02:40,650 --> 00:02:44,400 So it's, you know, looks like a, a fun way to get involved with geography. 57 00:02:44,710 --> 00:02:48,030 I know many of us have done this as I've always seen it as something 58 00:02:48,030 --> 00:02:51,900 we do for community building and also for team building. 59 00:02:51,900 --> 00:02:53,820 I've done some of those exercises with it. 60 00:02:54,100 --> 00:02:55,690 And it's always a good event. 61 00:02:56,315 --> 00:03:00,095 Next up in news we have a link in the show notes to the religious landscape study. 62 00:03:00,095 --> 00:03:03,015 Now, this is the United States I think only in the United 63 00:03:03,015 --> 00:03:05,245 States that they're surveying. 64 00:03:05,245 --> 00:03:09,885 But this is a survey that it was conducted in 20 2007 and 2014, 65 00:03:10,005 --> 00:03:12,585 and again in 2023 slash 2024. 66 00:03:12,945 --> 00:03:15,804 And they've released the results which you can go check out. 67 00:03:15,804 --> 00:03:18,475 And, and the thing that's kind of interesting is they're going out 68 00:03:18,864 --> 00:03:21,265 and sort of seeing what it is the. 69 00:03:22,150 --> 00:03:27,019 Religiosity, if you will, if that's the proper term for particular areas. 70 00:03:27,070 --> 00:03:32,380 For example, I happen to be on Baltimore and 54% identify as Christians, 9% 71 00:03:32,380 --> 00:03:37,730 identify other religious religions, and 36 identify as unaffiliated to religion. 72 00:03:38,344 --> 00:03:42,755 It gives a little bit of an idea of the religious landscape in the United States. 73 00:03:43,054 --> 00:03:46,984 This is particularly important I think, given a lot of things going on in 74 00:03:46,984 --> 00:03:51,094 politics recently in the United States have been hearkening back to religion. 75 00:03:51,094 --> 00:03:54,665 So understanding what that geography actually looks like 76 00:03:54,665 --> 00:03:57,274 can be very inciting, exciting. 77 00:03:57,334 --> 00:03:58,024 Sorry the wrong word. 78 00:03:58,174 --> 00:04:01,475 Insightful for understanding. 79 00:04:02,329 --> 00:04:03,769 Where some of this stuff is coming from. 80 00:04:04,279 --> 00:04:06,920 And for me it's just the design of their interactive map. 81 00:04:07,289 --> 00:04:11,129 It just works really well and it's, it's also very pretty, it's just smooth. 82 00:04:11,469 --> 00:04:15,599 And I just wanted to, to highlight that because the, the cartography is. 83 00:04:15,959 --> 00:04:16,649 Very nice. 84 00:04:16,829 --> 00:04:17,339 I think so. 85 00:04:17,339 --> 00:04:18,419 I don't know if you think so, Frank. 86 00:04:18,569 --> 00:04:21,329 Well, the, the kind of interesting bit here is if you click on the 87 00:04:21,329 --> 00:04:24,919 state, for example, I clicked on South Carolina completely by happenstance 88 00:04:24,919 --> 00:04:28,949 considering very spatial North or very spatial south is from South 89 00:04:28,949 --> 00:04:30,569 Carolina or at South Carolina. 90 00:04:30,759 --> 00:04:34,179 It gives you a, a good breakdown of understanding some of, of 91 00:04:34,179 --> 00:04:38,769 that, you know, when you say, in this particular case, 77% of. 92 00:04:38,814 --> 00:04:44,064 People in South Carolina identify as Christian, you get an idea of evangelical 93 00:04:44,064 --> 00:04:47,934 versus mainland Protestant versus historically black, Protestant or 94 00:04:47,934 --> 00:04:50,694 Catholic or Mormon or whatever it may be. 95 00:04:50,964 --> 00:04:54,474 Similarly, when you see that 6% identify as other religions, you get 96 00:04:54,474 --> 00:04:55,614 an idea of what we're talking about. 97 00:04:55,614 --> 00:04:59,259 Jewish, Muslim, but Buddhist, Hindu or something else. 98 00:04:59,759 --> 00:05:01,169 You can break those further down. 99 00:05:01,169 --> 00:05:03,869 So evangelical, I always struggle with that word. 100 00:05:04,409 --> 00:05:07,919 Protestant, you can see what's Baptist versus Methodist versus 101 00:05:07,919 --> 00:05:09,509 Lutheran, whatever it may be. 102 00:05:09,669 --> 00:05:13,870 There are a lot of different sects of, of Christianity that are in the 103 00:05:13,870 --> 00:05:18,460 United States and understanding their geography can really give an insight 104 00:05:18,460 --> 00:05:20,170 to way some of this stuff is, is gone. 105 00:05:20,170 --> 00:05:22,270 And the other thing I really like is that I mentioned that, you know, there's a 106 00:05:22,270 --> 00:05:26,590 2014 and 2007, so you can actually click on and see for each of those states. 107 00:05:26,885 --> 00:05:28,085 Past indicators. 108 00:05:28,085 --> 00:05:32,515 So by this, this particular study South Carolina has gotten 109 00:05:32,515 --> 00:05:34,825 less religious since 2007. 110 00:05:35,305 --> 00:05:35,485 Yeah. 111 00:05:35,485 --> 00:05:40,615 Also, geography of religion is always one of the popular sections at the American, 112 00:05:41,125 --> 00:05:42,865 the Association of American Geographers. 113 00:05:43,165 --> 00:05:46,345 So, I mean, it's kind of neat if you wanna get a little idea about that. 114 00:05:46,345 --> 00:05:47,905 And this is outta the Pew Research. 115 00:05:47,910 --> 00:05:51,930 So it is a pretty, you know, trustworthy data source here. 116 00:05:51,930 --> 00:05:53,130 They do a pretty good job. 117 00:05:53,510 --> 00:05:57,170 At Geo N this year, the National Geospatial Intelligence Agency, 118 00:05:57,170 --> 00:06:03,950 NGA has announced that it is the NGAs, NGA year of ai. 119 00:06:04,250 --> 00:06:11,180 So it's NGA ai and it is going, they're going to be focusing on the, the power 120 00:06:11,180 --> 00:06:15,550 and potential of artificial intelligence which I think goes along with a lot of 121 00:06:15,550 --> 00:06:17,860 the trends that we've been seeing in. 122 00:06:18,330 --> 00:06:23,410 Conferences, announcements that AI is becoming a big focus for the, 123 00:06:23,470 --> 00:06:25,630 the industry in the next few years. 124 00:06:26,525 --> 00:06:27,785 It isn't really a surprise. 125 00:06:27,785 --> 00:06:29,855 I don't think that they're focusing on ai. 126 00:06:29,855 --> 00:06:33,875 Everyone and their, as our dissertation advisor would say, everyone and their dog 127 00:06:34,085 --> 00:06:36,635 is focusing on AI in some form or fashion. 128 00:06:37,115 --> 00:06:40,955 Geo is actually kind of an interesting area for me to think about. 129 00:06:41,135 --> 00:06:44,705 What, what I find it interesting is we know a little about geo ai and we tend 130 00:06:44,705 --> 00:06:48,615 to, we've talked about in the podcast in the past that GOI tends to be. 131 00:06:49,300 --> 00:06:52,870 The way we conceptualize it tends to be on things like, you know, how we, how we 132 00:06:52,870 --> 00:06:57,820 analyze data, how we look at, you know, what a landscape looks like, how we, you 133 00:06:57,820 --> 00:07:00,610 know, sort of organize the pixels that we're looking at, that sort of stuff. 134 00:07:01,000 --> 00:07:05,230 But geoint is so much more than just the geospatial piece of it. 135 00:07:05,480 --> 00:07:09,140 There are so many other pieces of it, and the intelligence community is also. 136 00:07:09,370 --> 00:07:13,720 Unsurprisingly, I would hope to anyone getting involved in a lot of ai. 137 00:07:13,720 --> 00:07:17,890 So I think it's gonna be interesting to see how those two pieces, those 138 00:07:18,040 --> 00:07:22,390 geospatial analytical AI models that we all know and have been using for years, 139 00:07:22,720 --> 00:07:25,960 interact with this intelligence based ai. 140 00:07:25,960 --> 00:07:29,585 That's probably looking at some of the more qualitative bits to understand 141 00:07:29,585 --> 00:07:32,615 what's going on in a particular region, you know, whenever it 142 00:07:32,855 --> 00:07:35,045 situations or issues sort of crop up. 143 00:07:35,285 --> 00:07:38,375 So this gonna mean, it would be really fascinating to be able to hear that. 144 00:07:38,790 --> 00:07:38,970 Yeah. 145 00:07:38,970 --> 00:07:42,600 And also they, they talk about a lot about the work that NGA does with 146 00:07:42,600 --> 00:07:46,900 first responders, with response to wildfires, the hurricane season. 147 00:07:47,179 --> 00:07:51,260 And you're gonna, you see a lot of focus on that with ai. 148 00:07:51,509 --> 00:07:53,549 So again, another, another big area. 149 00:07:53,549 --> 00:07:57,509 I was wondering because they have their own certification that's sort of like 150 00:07:57,509 --> 00:08:01,169 the GISP when we're gonna see GIS cer. 151 00:08:01,169 --> 00:08:06,759 Certification exams like the GISP and like the GEOINT one that are gonna 152 00:08:06,759 --> 00:08:09,489 have more questions focusing on geo ai. 153 00:08:10,099 --> 00:08:12,799 Next up in the news, university of Missouri's Board of Governors 154 00:08:12,799 --> 00:08:15,479 has voted unanimously in April. 155 00:08:15,479 --> 00:08:19,349 So it's about a month old, but it was unanimously decided to create the first 156 00:08:19,429 --> 00:08:23,089 I dunno if it's the first actually, but it is a new master's degree. 157 00:08:23,154 --> 00:08:26,724 In geospatial engineering at Missouri s and t, I'm not 158 00:08:26,724 --> 00:08:28,134 sure what s and t stands for. 159 00:08:28,464 --> 00:08:32,424 I'm sure it's one of the divisions of university of Missouri. 160 00:08:33,024 --> 00:08:36,174 It, it's kind of interesting 'cause you don't tend to think about geospatial. 161 00:08:37,034 --> 00:08:41,804 Engineering and, and at least I don't, I think about geospatial technologies, I 162 00:08:41,804 --> 00:08:46,334 think about geospatial analysis, data, all that sort of stuff, but not necessarily 163 00:08:46,784 --> 00:08:49,154 sort of the engineering side of it. 164 00:08:49,484 --> 00:08:53,324 And so they pointed out that other universities tend to focus on GIS and 165 00:08:53,324 --> 00:08:54,795 geography and all that sort of stuff. 166 00:08:54,795 --> 00:08:59,055 There is, theirs is more focused on things like positioning, g 167 00:08:59,084 --> 00:09:00,584 the word we all struggle with. 168 00:09:00,634 --> 00:09:03,214 Geodyssey Geodesy, whichever it is. 169 00:09:03,525 --> 00:09:08,505 Remote sensing and talking about some of the actual mechanical bits. 170 00:09:08,555 --> 00:09:10,775 I'm, when I use, you can't see it, but air quotes are on the word 171 00:09:10,775 --> 00:09:14,165 mechanical bits around this GIS stuff. 172 00:09:14,405 --> 00:09:18,185 I think it's really fascinating that they are, you know, move 173 00:09:18,185 --> 00:09:19,265 that to a master's level. 174 00:09:19,265 --> 00:09:20,165 And I'm kind of curious. 175 00:09:20,270 --> 00:09:24,604 I, I don't actually know what the market looks like for engineering like this. 176 00:09:24,604 --> 00:09:27,635 I, I, I'm, I'm curious how, how much. 177 00:09:27,854 --> 00:09:31,634 How important that is to the market compared to traditional GIS and 178 00:09:31,634 --> 00:09:35,354 geography based GIS My gut tells me it's a bigger market, so this is 179 00:09:35,354 --> 00:09:36,944 why they may have done this program. 180 00:09:37,425 --> 00:09:41,295 Yeah, it, it makes me think about, I've worked at different places where you had 181 00:09:41,594 --> 00:09:44,775 both the, the software side, but then the, the technical side where people 182 00:09:44,775 --> 00:09:48,974 were actually working with the things you touch and thinking about that this. 183 00:09:49,294 --> 00:09:53,104 A degree like this really makes sense and it's very exciting. 184 00:09:53,134 --> 00:09:57,994 Because I just think about working in a lab where people came in with equipment, 185 00:09:58,234 --> 00:10:02,464 you know, not just the, the building it, designing it, but also the upkeep for it. 186 00:10:02,805 --> 00:10:04,395 There's a a lot of call for that. 187 00:10:04,395 --> 00:10:08,121 If you think of how much is being created and produced out there, you have to 188 00:10:08,126 --> 00:10:09,734 think that there's a lifecycle to it. 189 00:10:10,094 --> 00:10:13,155 Missouri University of Science and Technology, s and t pretty. 190 00:10:13,390 --> 00:10:14,800 You know, should have been able to put that together. 191 00:10:14,800 --> 00:10:17,860 But that's the institution and they're looking to start 192 00:10:17,860 --> 00:10:19,960 enrolling people in fall 2025. 193 00:10:20,290 --> 00:10:22,810 So it's a little late in the cycle, but if it's something you're interested 194 00:10:22,810 --> 00:10:26,319 in, you know, check out the link in the show notes and it has a link 195 00:10:26,380 --> 00:10:28,110 to the actual engineering program. 196 00:10:28,380 --> 00:10:30,970 You might look into it and see if it's something that that interests you. 197 00:10:31,495 --> 00:10:36,205 And going back to the Geo Win conference and the idea of needing people that 198 00:10:36,205 --> 00:10:40,765 are skilled in both the, the technical and the, the software and other sides. 199 00:10:40,944 --> 00:10:45,435 St. Louis, the geospatial industry responded after the 200 00:10:45,465 --> 00:10:46,815 tornado strikes that happen. 201 00:10:46,815 --> 00:10:50,655 So it happens that, you know, St. Louis is growing as a geospatial 202 00:10:50,655 --> 00:10:52,065 hub in the United States. 203 00:10:52,305 --> 00:10:55,785 You also have an event going on, so there's coverage talking 204 00:10:55,785 --> 00:10:58,875 about how they were able to show. 205 00:10:59,110 --> 00:11:02,200 How GS is used on the ground when something's happening. 206 00:11:02,480 --> 00:11:07,040 So it's, you know, not often that you have something happen in a place where 207 00:11:07,040 --> 00:11:11,060 so many people are able to provide their, their expertise and you can just imagine 208 00:11:11,060 --> 00:11:15,210 what it would be like if everywhere had teams like this that were able to 209 00:11:15,210 --> 00:11:16,920 respond and help their communities. 210 00:11:17,070 --> 00:11:17,460 Yeah. 211 00:11:17,470 --> 00:11:20,555 This is unfortunately what's going on in the United States right 212 00:11:20,555 --> 00:11:22,025 now is we're having a bit of. 213 00:11:22,060 --> 00:11:26,179 I dunno what the word is shakeup, if you will, at the national level. 214 00:11:26,179 --> 00:11:33,019 And it's great that state groups are in getting involved to sort of bridge 215 00:11:33,019 --> 00:11:37,909 the gap between what the national level isn't necessarily doing right now. 216 00:11:38,179 --> 00:11:40,099 I'm very, I'm very excited. 217 00:11:40,114 --> 00:11:43,984 And proud of people in our, in our industry trying to jump in and say, 218 00:11:43,984 --> 00:11:47,104 these are real issues and real people that really need to be addressed. 219 00:11:47,704 --> 00:11:49,234 That part is great. 220 00:11:49,284 --> 00:11:51,924 So we won't think too much about the reason they needed to get 221 00:11:51,924 --> 00:11:57,184 involved more aggressively after this particular tragedy compared to others. 222 00:11:57,234 --> 00:11:59,214 But it's great that we're doing this. 223 00:11:59,394 --> 00:12:01,554 You know, there is a history here that goes back quite a 224 00:12:01,554 --> 00:12:02,604 bit when you think about it. 225 00:12:02,604 --> 00:12:06,654 Katrina, we had a big geospatial team that jumped in to help with some of the 226 00:12:06,654 --> 00:12:08,724 mapping efforts that were involved there. 227 00:12:08,964 --> 00:12:11,544 I'm trying, Haiti I think happened after Katrina. 228 00:12:11,874 --> 00:12:12,834 Similar thing. 229 00:12:12,834 --> 00:12:15,594 And you know, we, everyone uses that as a exam. 230 00:12:15,594 --> 00:12:20,524 Prime example of open source data and crowdsource data being very critical. 231 00:12:20,764 --> 00:12:24,664 So there is a long history here and. 232 00:12:25,049 --> 00:12:30,059 Hopefully it continues irrespective of federal or otherwise involvement. 233 00:12:30,539 --> 00:12:34,129 So related to some of the, the stories, we basically have a theme 234 00:12:34,129 --> 00:12:41,079 going on about industry and the hard physical side of technologies. 235 00:12:41,384 --> 00:12:45,594 There was an, an op-ed in Energy Connects where they were talking 236 00:12:45,594 --> 00:12:50,655 about the future of utilities and the utilities industry and emphasizing that 237 00:12:50,655 --> 00:12:54,445 the future is gonna be remote sensing that you really need remote sensing 238 00:12:54,445 --> 00:12:58,765 to handle the level of work they have, that the technology has advanced so it 239 00:12:58,795 --> 00:13:01,525 would be usable and have a real impact. 240 00:13:01,805 --> 00:13:06,065 So for us who are immersed in our own industries, we often don't realize 241 00:13:06,285 --> 00:13:07,395 that, you know, there are things we. 242 00:13:07,445 --> 00:13:12,345 Think are being done but are still, you know, an, an open for that industry 243 00:13:12,345 --> 00:13:14,955 in other fields like utilities. 244 00:13:15,145 --> 00:13:19,405 Which is another area where I imagine you would have a big crossover of, you 245 00:13:19,405 --> 00:13:23,815 know, hands-on physical technologies and the, the software and remit sensing. 246 00:13:24,655 --> 00:13:26,355 Yeah, they really push drone. 247 00:13:26,425 --> 00:13:28,765 Base remote sensing more than anything else. 248 00:13:28,765 --> 00:13:33,205 And they talk about how synthetic aperture radar can be very useful for detecting 249 00:13:33,205 --> 00:13:36,895 faults and things like power lines, transformers, and pipelines, which is 250 00:13:37,345 --> 00:13:41,215 something that I don't think we would think about or realize that utilities do 251 00:13:41,215 --> 00:13:43,315 an awful lot of on a day-to-day basis. 252 00:13:43,315 --> 00:13:44,035 And it would used to be. 253 00:13:44,775 --> 00:13:48,625 Well, 'cause largely still is probably by hand, which means sending 254 00:13:48,625 --> 00:13:50,965 people out there and inspecting this stuff on a regular basis. 255 00:13:50,965 --> 00:13:53,185 And I don't think that the SAR is gonna, you know, eliminate 256 00:13:53,185 --> 00:13:54,655 that, eliminate that completely. 257 00:13:54,655 --> 00:13:58,345 You're still gonna have to have human hands and human eyes looking at the thing. 258 00:13:58,765 --> 00:14:02,535 But to have the ability to kind of detect weaknesses, vulnerabilities 259 00:14:02,705 --> 00:14:06,605 that sort of stuff on a more ongoing basis using remote. 260 00:14:06,620 --> 00:14:09,020 Sensing is pretty powerful and pretty exciting. 261 00:14:09,050 --> 00:14:13,620 It'll help reduce, you know, losses help reduce downtime. 262 00:14:13,620 --> 00:14:18,330 It'll, you know, you can imagine all the good stuff that'll happen by being more 263 00:14:18,330 --> 00:14:19,710 on top of the maintenance piece of this. 264 00:14:20,580 --> 00:14:25,060 I've also been in conference sessions where utilities people and others 265 00:14:25,060 --> 00:14:26,800 talked about how it'll increase safety. 266 00:14:27,170 --> 00:14:31,170 Because sometimes we don't think about how there are day-to-day jobs in many 267 00:14:31,170 --> 00:14:32,820 cases can be a little bit dangerous. 268 00:14:32,820 --> 00:14:36,600 And this would not only be more efficient, provide a way to cover 269 00:14:36,600 --> 00:14:40,810 greater scope but also would make it safer for the people that do those jobs. 270 00:14:41,590 --> 00:14:41,800 Yep. 271 00:14:41,860 --> 00:14:44,740 And they also point out that one way that they're using drones 272 00:14:44,740 --> 00:14:46,840 aggressively is, everyone stay with me. 273 00:14:46,840 --> 00:14:47,140 Ready? 274 00:14:48,760 --> 00:14:54,520 AI using a lot of AI to try to process this data and, you know, 275 00:14:54,520 --> 00:14:59,110 pick out these, these telltale signs of there being an issue that needs 276 00:14:59,110 --> 00:15:00,430 to be addressed sooner than later. 277 00:15:00,590 --> 00:15:05,110 So you know, AI is everywhere and it's going to continue to be everywhere. 278 00:15:08,365 --> 00:15:15,125 So in nature Cities, there is a study that's been published that looks at using 279 00:15:15,125 --> 00:15:17,575 remote sensing data to show in imagery. 280 00:15:17,855 --> 00:15:20,465 And they found that there's a land substance risk to 281 00:15:20,465 --> 00:15:22,175 infrastructure in the US metropolis. 282 00:15:22,175 --> 00:15:25,085 Basically, it means that cities are sinking. 283 00:15:25,335 --> 00:15:27,705 And you know, while this is something that they. 284 00:15:27,975 --> 00:15:29,775 That people have talked about in the past. 285 00:15:29,775 --> 00:15:33,465 This is something where they, they show that, you know, this is something that 286 00:15:33,465 --> 00:15:36,785 they can actually demonstrate is a hazard. 287 00:15:36,785 --> 00:15:39,035 It's, you know, indeed a slow moving hazard. 288 00:15:39,345 --> 00:15:44,235 But one that cities should be preparing for, especially on coastal areas. 289 00:15:44,565 --> 00:15:50,235 And they looked at space geodetic measures from 2015 to 2021 for 290 00:15:50,325 --> 00:15:52,635 the 28 most populous US states. 291 00:15:52,875 --> 00:15:53,715 I think this is. 292 00:15:53,855 --> 00:15:57,635 The article in the news that I've been sent the most by people who 293 00:15:57,635 --> 00:16:01,175 aren't geographers because it really struck them in the coverage. 294 00:16:01,175 --> 00:16:04,175 I think it's something that, you know, they could see related 295 00:16:04,175 --> 00:16:05,555 to places where they live. 296 00:16:05,835 --> 00:16:10,335 And the study was looking at land substenance as a cost for social and 297 00:16:10,335 --> 00:16:12,525 economic impacts in these urban centers. 298 00:16:12,825 --> 00:16:15,045 Yeah, I mean, the, the numbers are pretty striking. 299 00:16:15,135 --> 00:16:18,735 They estimate that at least 20% of the urban areas is, is 300 00:16:18,735 --> 00:16:21,975 stinking in all cities, 20%. 301 00:16:22,600 --> 00:16:24,430 I mean, that's pretty astounding. 302 00:16:24,430 --> 00:16:27,820 And you know, they, they talk a lot about how that has to do with 303 00:16:27,880 --> 00:16:32,210 groundwater extraction primarily, which certainly makes sense since that's 304 00:16:32,210 --> 00:16:36,110 something that, you know, access to water is arguably one of the biggest 305 00:16:36,110 --> 00:16:41,270 geography issues in the world today that we just don't talk about enough. 306 00:16:41,750 --> 00:16:42,710 But, you know. 307 00:16:43,085 --> 00:16:47,265 The impacts on things like groundwater when you have an built, built up 308 00:16:47,265 --> 00:16:50,415 environment is, again, that's a thing that we just don't talk about. 309 00:16:50,445 --> 00:16:54,465 It just sort of, most people don't even, aren't even cognitive of that 310 00:16:54,525 --> 00:17:00,075 this is happening and the negative effects that surround it, but 20%, 311 00:17:00,585 --> 00:17:00,765 yeah. 312 00:17:00,765 --> 00:17:01,755 I'm not a geologist. 313 00:17:01,940 --> 00:17:06,680 And, but you know, I work with geologists and I know many geologists and you 314 00:17:06,680 --> 00:17:10,250 know, just learning about this, you know, that crossover with geology, 315 00:17:10,250 --> 00:17:14,360 geoscience, physical geography, human geography, and just how. 316 00:17:15,135 --> 00:17:16,485 You know, we live on the earth. 317 00:17:16,485 --> 00:17:18,045 You know, the earth is dynamic. 318 00:17:18,045 --> 00:17:20,025 You know, things move and change. 319 00:17:20,055 --> 00:17:25,875 But I just think we don't realize how much of a human environment impact we have on 320 00:17:25,875 --> 00:17:30,015 things between this and, you know, melting glaciers that make the earth spring up. 321 00:17:30,315 --> 00:17:35,235 Just all sorts of physical changes that go on from things that, you know, 322 00:17:35,235 --> 00:17:38,925 we've done and where we've built and settlement and all those patterns. 323 00:17:39,345 --> 00:17:39,525 Yeah. 324 00:17:39,525 --> 00:17:42,645 Even on a highly local level, our driveway. 325 00:17:43,275 --> 00:17:48,045 Suffered from this problem where people up on the hill built and it shifted the 326 00:17:48,045 --> 00:17:51,405 groundwater in such a way that we suddenly had a spring prop come up in the middle 327 00:17:51,405 --> 00:17:53,415 of our driveway that we had to get abated. 328 00:17:53,505 --> 00:17:58,765 You, you never know how that's gonna impact you know, sort of where when 329 00:17:58,765 --> 00:18:02,255 you're building at one place or you know, expanding on one place 330 00:18:02,255 --> 00:18:04,175 how it's gonna impact other places. 331 00:18:04,235 --> 00:18:08,345 And they're talking about, this is fairly telling, as you know, the. 332 00:18:08,530 --> 00:18:12,460 They talked a bit about the, the coastal cities, which I think that 333 00:18:12,460 --> 00:18:13,870 most of us can sort of understand. 334 00:18:13,870 --> 00:18:14,590 They're like, yeah, okay. 335 00:18:14,590 --> 00:18:17,590 That makes a little more sense that coastal cities are having an issue, what 336 00:18:17,590 --> 00:18:18,880 with climate change and stuff like that. 337 00:18:18,880 --> 00:18:22,260 But they noticed that even in inland metropolis, like Mexico, 338 00:18:22,260 --> 00:18:26,640 Sydney and Beijing, where in Teran they're having the same problems. 339 00:18:26,670 --> 00:18:30,300 So this is really a urban development. 340 00:18:30,805 --> 00:18:34,345 Issue, not necessarily this country, that country, this climate, that 341 00:18:34,345 --> 00:18:39,145 climate, this, this geography, that geography is an urban versus rural, not 342 00:18:39,145 --> 00:18:44,485 versus, but urban as opposed to rural area issue more than anything else. 343 00:18:44,635 --> 00:18:48,415 And it, it gets back to that, those utilities and infrastructure 344 00:18:48,725 --> 00:18:49,775 that they're talking about. 345 00:18:49,775 --> 00:18:53,285 You know, what can be done and it's going to be improving drainage 346 00:18:53,285 --> 00:18:57,525 systems, infrastructure, upgrading structural protection and it'll. 347 00:18:57,555 --> 00:19:00,975 Depend on where that city is on how they approach that issue. 348 00:19:01,485 --> 00:19:04,275 It's a pretty challenging, but also really interesting study. 349 00:19:05,100 --> 00:19:08,070 So, speaking of infrastructure, here's an infrastructure piece that 350 00:19:08,130 --> 00:19:12,540 we don't think about as well is the undersea cable infrastructure. 351 00:19:12,810 --> 00:19:18,940 We're talking about 1.3 million kilometers of cable stretches across that connects. 352 00:19:18,955 --> 00:19:20,155 Things like, what is it? 353 00:19:20,155 --> 00:19:23,055 99% of intercontinental internet traffic goes through there. 354 00:19:23,365 --> 00:19:25,255 We're talking about digital communications, financial 355 00:19:25,255 --> 00:19:30,215 transactions, navigation, logistics government operations, and even 356 00:19:30,215 --> 00:19:31,805 coordination with the, the military. 357 00:19:31,805 --> 00:19:32,885 This is critical. 358 00:19:33,170 --> 00:19:37,580 Bits of information or critical technology and infrastructure that 359 00:19:37,580 --> 00:19:39,350 we just tend to not think about. 360 00:19:39,650 --> 00:19:44,030 So the article that we link to has a really good discussion 361 00:19:44,060 --> 00:19:47,060 about the risks that this faces. 362 00:19:47,090 --> 00:19:51,050 And we've seen some kind of high profile examples of this being an issue. 363 00:19:51,170 --> 00:19:55,310 Oh, in last 14, 18 months or something like that, there was the, the cut 364 00:19:55,340 --> 00:19:59,020 that happened around the Persian Gulf area, I think that happened. 365 00:19:59,020 --> 00:20:00,430 And there was another one that happened. 366 00:20:01,240 --> 00:20:01,960 Around Europe. 367 00:20:01,960 --> 00:20:03,025 I can't remember exactly where it was at. 368 00:20:03,025 --> 00:20:06,120 There was a couple of of situations where this is black Sea. 369 00:20:06,150 --> 00:20:10,110 The Baltic Sea, I think was one of the areas where this has cut 370 00:20:10,110 --> 00:20:16,110 off major amounts of connectivity that people find it necessary. 371 00:20:16,320 --> 00:20:21,450 This actually impacts us in the geospatial community because a lot of 372 00:20:21,450 --> 00:20:23,490 the things that we are dealing with. 373 00:20:23,760 --> 00:20:26,770 Are based upon open geospatial standards. 374 00:20:27,470 --> 00:20:32,210 And this is coming out of the Open Geospatial Consortium in a partnership 375 00:20:32,570 --> 00:20:36,500 that they have with the International Hydrographic Organization and the 376 00:20:36,500 --> 00:20:38,450 International Cable Protection Committee. 377 00:20:38,660 --> 00:20:41,630 I'm most excited when I get to find out that there are committees and 378 00:20:41,630 --> 00:20:45,050 groups that work with, you know, areas that you've gotta know. 379 00:20:45,050 --> 00:20:46,760 There are people that this is what they focus on. 380 00:20:46,760 --> 00:20:47,870 In this case, they focus. 381 00:20:48,185 --> 00:20:54,515 On the, you know, international cables and they are looking at how you can use, 382 00:20:54,515 --> 00:20:58,775 you know, open geospatial standards for visibility, context, and coordination 383 00:20:59,105 --> 00:21:01,145 across jurisdictions and sectors. 384 00:21:01,325 --> 00:21:05,345 And this is another instance where, you know, geospatial very large, we cross 385 00:21:05,675 --> 00:21:09,915 many different boundaries and borders both in term terms of the types of 386 00:21:09,915 --> 00:21:11,625 jobs we do and the places we were at. 387 00:21:11,755 --> 00:21:12,505 We are at. 388 00:21:12,755 --> 00:21:17,705 So you can imagine the coordination effort that is needed for the, the 389 00:21:17,705 --> 00:21:20,825 physical manifestation of that in terms of these undersea cables. 390 00:21:21,305 --> 00:21:26,435 So in speaking about, you know, coordination, the National Trust in the 391 00:21:26,435 --> 00:21:32,655 uk you know, working alongside ESRI has exceeded its conservation goals that 392 00:21:32,655 --> 00:21:35,745 it had by implementing the use of GIS. 393 00:21:36,215 --> 00:21:40,705 So the UK is considered one of the most nature depleted countries in the world, 394 00:21:41,125 --> 00:21:47,255 and it is has a lot of land that's now put into the national trust and they have been 395 00:21:47,255 --> 00:21:50,625 using GIS to coordinate their workflows. 396 00:21:50,760 --> 00:21:55,470 In order to help to protect these wildlife habitats and the term that they use. 397 00:21:55,470 --> 00:21:58,890 I like this 'cause I, this is really nice to hear, hear in a report. 398 00:21:59,280 --> 00:22:02,820 They, their target has been comfortably exceeded and I think that's something 399 00:22:02,820 --> 00:22:04,710 we could all add to any reports we have. 400 00:22:05,020 --> 00:22:10,630 Because it shows that they were able to use GIS in their over 500 historic 401 00:22:10,630 --> 00:22:12,580 properties, gardens, and their reserves. 402 00:22:12,670 --> 00:22:14,740 And they call it a digital transformation. 403 00:22:14,950 --> 00:22:17,970 And because it really has increased. 404 00:22:18,120 --> 00:22:23,080 The, the efficiency and the ability they have for understanding what they're 405 00:22:23,080 --> 00:22:25,020 working with in con in conservation. 406 00:22:25,320 --> 00:22:28,200 And they said it's because they've been able to collect a lot of robust 407 00:22:28,200 --> 00:22:32,340 data and to use spatial analysis with that data in order to, to 408 00:22:32,340 --> 00:22:34,230 implement these projects and changes. 409 00:22:34,230 --> 00:22:34,290 I. 410 00:22:35,110 --> 00:22:39,390 Next up the news the British Department for Environment Food and Rural Affairs, 411 00:22:39,420 --> 00:22:47,730 defra released a pretty extensive map of all the peat A areas in the uk and it had 412 00:22:47,730 --> 00:22:52,560 some pretty, they said it had 95% rate of accuracy, which is pretty impressive. 413 00:22:52,890 --> 00:22:57,630 It's the first, I think, entire map of the Pete areas ever constructed in the uk. 414 00:22:57,960 --> 00:22:58,440 And it. 415 00:22:58,900 --> 00:23:02,800 Had pretty sobering information in it based upon its analysis. 416 00:23:02,860 --> 00:23:07,870 80% of England's pet peatlands were in dry and degrading condition. 417 00:23:08,140 --> 00:23:11,230 They needed urgent attention, and this was all done through the 418 00:23:11,230 --> 00:23:14,800 power of, again, say it with me, everyone, artificial intelligence, 419 00:23:14,800 --> 00:23:17,080 ai, and that's pretty amazing. 420 00:23:17,290 --> 00:23:19,900 That fine that or they were able to use this technology 421 00:23:19,900 --> 00:23:21,340 and this, the power of this. 422 00:23:21,615 --> 00:23:26,565 95% accurate to find that 80% of the pen, the peatlands are in crisis and 423 00:23:26,745 --> 00:23:29,685 action needs to happen, except it's. 424 00:23:30,375 --> 00:23:30,795 Wrong. 425 00:23:31,575 --> 00:23:36,655 And, and this goes to the importance for ground truthing for local knowledge. 426 00:23:36,875 --> 00:23:41,735 What they found is that local residents started to report that the AI had confused 427 00:23:41,735 --> 00:23:47,645 prime peat with stone and walls, with woods with degraded peatland, and also 428 00:23:47,645 --> 00:23:53,715 had, in its analysis with imagery, missed some of the actual peatlands. 429 00:23:53,925 --> 00:23:57,795 So this was across the board as an inaccuracy. 430 00:23:58,045 --> 00:24:03,865 So this is definitely something that has to do with the AI's analysis itself. 431 00:24:04,375 --> 00:24:07,065 Yeah, the, here's a quote from the farmers endorse it. 432 00:24:07,095 --> 00:24:09,705 They in the lake district, they said on the public policy 433 00:24:09,705 --> 00:24:12,015 level, this is just useless. 434 00:24:12,105 --> 00:24:17,715 So this is a really great cautionary tale about how one, you can use 435 00:24:17,715 --> 00:24:21,825 a technology to do some very powerful things to cover area that. 436 00:24:21,985 --> 00:24:26,515 Simply had never been covered and is really probably in terms 437 00:24:26,515 --> 00:24:30,805 of man hours, way too hard to reasonably do for almost anyone. 438 00:24:31,015 --> 00:24:33,835 However, you've gotta ground truth that, like Barbara said, you have to 439 00:24:33,835 --> 00:24:38,215 ground truth this stuff because your technology can make really stupid 440 00:24:38,215 --> 00:24:41,815 errors and show inaccuracies on the map. 441 00:24:41,815 --> 00:24:46,015 And as we all know, as cartographers, if it's on a map, then it's 100% true. 442 00:24:46,045 --> 00:24:47,635 That's just what everybody thinks. 443 00:24:48,235 --> 00:24:51,505 So you have to be very careful about what you put on a map because. 444 00:24:51,690 --> 00:24:54,120 It may not be 100% true in this case. 445 00:24:54,120 --> 00:24:56,100 It is shockingly untrue. 446 00:24:56,730 --> 00:24:59,460 I think that there's still some potential for something like this. 447 00:24:59,460 --> 00:25:03,900 I think there's potential for AI to help them start to 448 00:25:03,930 --> 00:25:06,000 prioritize or explore things. 449 00:25:06,000 --> 00:25:09,390 There are a lot of geos, statistical analysis tools that we have that allow 450 00:25:09,390 --> 00:25:13,620 us, like creating, allow us to do predictive estimate estimates of what 451 00:25:13,620 --> 00:25:15,300 is in a particular area or how it looks. 452 00:25:15,690 --> 00:25:19,110 So there, I think there's something that can be done from this book. 453 00:25:19,650 --> 00:25:21,480 AI is just not there yet. 454 00:25:22,080 --> 00:25:26,490 And this is a probably one of the most public and high, you know, 455 00:25:26,490 --> 00:25:29,100 examples of it getting it all wrong. 456 00:25:29,700 --> 00:25:33,870 But my question was when I was reading it, because on the one hand, AI and 457 00:25:33,870 --> 00:25:38,070 very cool, but on the other hand, no ground truthing it seems like. 458 00:25:38,070 --> 00:25:40,290 But also, didn't they have experts they were working 459 00:25:40,290 --> 00:25:41,880 with that this was their area? 460 00:25:42,430 --> 00:25:45,730 You know, within the GIS project management, you know, when 461 00:25:45,730 --> 00:25:48,430 they were doing this, you know, normally you're working with. 462 00:25:48,895 --> 00:25:53,215 Experts within that field, if the geospatial people aren't an expert 463 00:25:53,215 --> 00:25:55,945 themselves, so wouldn't they have noticed some of those patterns? 464 00:25:55,945 --> 00:25:57,325 'cause I'm trying to imagine that. 465 00:25:57,475 --> 00:26:00,115 Well, at that scale, not noticing. 466 00:26:00,505 --> 00:26:01,615 I think it's the speed. 467 00:26:01,915 --> 00:26:04,795 I mean, I think you can use, if you throw enough AI at something, enough 468 00:26:04,795 --> 00:26:08,215 server forms in it, you can put out a lot of stuff really, really quickly. 469 00:26:08,275 --> 00:26:09,690 And we were talking about creating. 470 00:26:10,330 --> 00:26:15,910 95% a accurate is what they thought of such a large area that, you 471 00:26:15,910 --> 00:26:20,200 know, they would've said, okay, maybe what I thought to be true. 472 00:26:20,255 --> 00:26:22,540 I, I I, I, I think you're absolutely right. 473 00:26:22,570 --> 00:26:25,180 There should have been more like experts looking at this, but I also 474 00:26:25,180 --> 00:26:29,110 think the volume and scale just made it so that people are overpowered. 475 00:26:29,110 --> 00:26:33,850 But I mean, honestly, they talked about the, the, an area that 476 00:26:33,850 --> 00:26:36,100 Shakespeare identified as wood and. 477 00:26:36,490 --> 00:26:39,370 He actually talked about it in his writing, so it said, no, that's 478 00:26:39,430 --> 00:26:41,920 Pete Bog, which is, I mean, come on. 479 00:26:42,280 --> 00:26:42,880 You should really? 480 00:26:43,150 --> 00:26:43,480 You should. 481 00:26:43,840 --> 00:26:49,870 That should have been easy to catch on a QC step, but this feels like a combination 482 00:26:49,870 --> 00:26:52,870 of scale, speed, and lack of man. 483 00:26:53,460 --> 00:26:55,140 Hours to put towards qc 484 00:26:55,380 --> 00:26:59,310 or also maybe that it just like in the case of ai, it makes everything look so 485 00:26:59,310 --> 00:27:04,660 good on the surface level that sometimes it's that roughness that helps you to, 486 00:27:04,690 --> 00:27:06,280 to look at things and question things. 487 00:27:06,280 --> 00:27:08,650 But you know, AI does have a tendency to make everything 488 00:27:08,650 --> 00:27:11,470 look right, even if it's not 489 00:27:11,680 --> 00:27:11,890 well. 490 00:27:11,920 --> 00:27:15,100 And also maybe, you know, it identified that there's real 491 00:27:15,100 --> 00:27:18,460 problems in those peak areas, and I'm guessing there probably are. 492 00:27:18,845 --> 00:27:22,275 You know and so I'm guessing that this confirmed some of the things they already 493 00:27:22,275 --> 00:27:26,505 knew and they, and it made it look like a much bigger problem, which they 494 00:27:26,505 --> 00:27:33,675 suspected it was, but they took those indications as, oh, this is right, and 495 00:27:33,675 --> 00:27:36,705 when it's really not, and it kind of shoots yourself in the foot a little bit. 496 00:27:37,125 --> 00:27:37,815 When you do that. 497 00:27:37,815 --> 00:27:39,675 So just be aware of that when you're doing this stuff. 498 00:27:40,335 --> 00:27:45,435 The Verge had a, it's an interesting article because it's someone that does 499 00:27:45,515 --> 00:27:48,665 you know, they're gaming, but they don't, I don't think they think of themselves 500 00:27:48,665 --> 00:27:52,235 as someone that's in serious gaming or looking at geography and games, but 501 00:27:52,235 --> 00:27:57,395 they're talking about how Open Street Map is being used in order to make better 502 00:27:57,395 --> 00:27:59,525 games about farms and transportation. 503 00:27:59,855 --> 00:28:00,245 So. 504 00:28:00,505 --> 00:28:03,565 If you have a game that involves, again, you know, a theme throughout 505 00:28:03,565 --> 00:28:08,995 this infrastructure, then using Open Streete map can make that game better. 506 00:28:09,175 --> 00:28:12,745 And I'm thinking it goes back and forth because, you know, as people 507 00:28:12,745 --> 00:28:17,755 are exposed to real life in games, then they have a better understanding 508 00:28:17,785 --> 00:28:21,115 of, you know, how these things might work in their own world. 509 00:28:21,635 --> 00:28:23,915 Yeah, I mean the games we're talking about here are like 510 00:28:24,125 --> 00:28:27,425 farming simulators and logistics simulators and that sort of stuff. 511 00:28:27,425 --> 00:28:31,025 And those are a, a style of game that either you love or you hate. 512 00:28:31,115 --> 00:28:33,425 I think some people really, really enjoy those things. 513 00:28:33,705 --> 00:28:34,605 Some people don't. 514 00:28:34,695 --> 00:28:38,915 And you can certainly see how having real world geography would help 515 00:28:39,185 --> 00:28:43,445 make those a more robust experience if you're into that sort of thing. 516 00:28:43,885 --> 00:28:46,825 And it's funny because it does even reflect real life, even 517 00:28:46,825 --> 00:28:49,315 when you know it's a game. 518 00:28:49,505 --> 00:28:53,835 Because they highlight that the developer of Global Farmer whenever 519 00:28:53,835 --> 00:28:57,705 anyone would visit their booth, every visitor wanted to look at their own 520 00:28:57,705 --> 00:28:59,475 zip code to see their own house. 521 00:28:59,805 --> 00:29:03,555 So even though they know it's a game, and even though it's not even sometimes 522 00:29:03,555 --> 00:29:07,515 meant to be hyper realistic, it's still, you know, a something that you wanna 523 00:29:07,515 --> 00:29:09,955 see, even if it's in a video game. 524 00:29:11,025 --> 00:29:14,575 Next up in the news QGIS has been around for a really long time, but 525 00:29:14,575 --> 00:29:17,395 there's a really interesting paper we've linked to it in the show notes. 526 00:29:17,425 --> 00:29:20,935 That is the, the QGIS project, spatial Without Compromise. 527 00:29:21,175 --> 00:29:25,565 It's one of the first papers that really looks at QGIS and its 528 00:29:25,565 --> 00:29:27,695 impact and sort of its history. 529 00:29:28,235 --> 00:29:33,305 The nice thing about it is that it's a really good compact. 530 00:29:34,010 --> 00:29:38,960 You know, sort of single paper that walks you through QGIS is a little 531 00:29:38,960 --> 00:29:43,400 bit of its history and what it can do, what it can't do, and its impacts. 532 00:29:43,400 --> 00:29:49,250 So if QGIS is something that you want to try to do I wouldn't sorry. 533 00:29:49,580 --> 00:29:52,870 I, would encourage you to play with it and figure out what, how 534 00:29:52,870 --> 00:29:54,850 you like it or how you can use it. 535 00:29:55,540 --> 00:29:59,620 But this paper will help kinda walk you through a little bit of that kind 536 00:29:59,620 --> 00:30:02,350 of effort and, and what it takes. 537 00:30:02,350 --> 00:30:04,720 It's not a tutorial, it's not a how to, it's an actual published 538 00:30:04,720 --> 00:30:08,620 paper, but it is an interesting read and it's worth, I think looking 539 00:30:08,620 --> 00:30:12,790 at and understanding a little bit about how the QGIS system works. 540 00:30:13,060 --> 00:30:16,870 How it works from a, from a process level, how it works from organization 541 00:30:16,870 --> 00:30:21,550 level, how it works from a. You know from a technical level to some extent, 542 00:30:21,760 --> 00:30:25,090 how it does things like budgets and all that sort of thing, so. 543 00:30:25,410 --> 00:30:29,950 Even though I tongue in cheek, you know, talk a lot of garbage about QGIS. 544 00:30:29,950 --> 00:30:33,940 Reality is, is that a lot of the issues that I have with it are a function of 545 00:30:33,940 --> 00:30:38,380 those things about its history, its budget, how it does infrastructure, who's 546 00:30:38,380 --> 00:30:42,010 in charge of releasing, who's in charge of getting this, this stuff out there, and 547 00:30:42,010 --> 00:30:43,420 what they're really trying to accomplish. 548 00:30:43,660 --> 00:30:46,510 It's not necessarily the things that I find as important, but you know, 549 00:30:46,510 --> 00:30:49,240 for what they're trying to accomplish, they're doing amazing things. 550 00:30:49,570 --> 00:30:51,280 And the best, of course is that. 551 00:30:51,575 --> 00:30:55,535 I can talk trash about it because I, I have effectively the exact same 552 00:30:55,535 --> 00:30:58,205 cost to, to deal with Esri's products. 553 00:30:58,535 --> 00:31:01,715 If I were in the private sector and I didn't have that, we would be talking 554 00:31:01,715 --> 00:31:03,935 in very different conversation. 555 00:31:04,265 --> 00:31:06,635 If I was in the nonprofit, it would definitely be a different 556 00:31:06,635 --> 00:31:09,005 conversation because QIS has. 557 00:31:09,700 --> 00:31:14,410 A lot of the power of Ezra's products in a very affordable 558 00:31:14,530 --> 00:31:16,360 and very obtainable package. 559 00:31:16,660 --> 00:31:20,990 What I thought interesting is that they also followed the, the standards of new 560 00:31:20,990 --> 00:31:25,380 publications for the, the geospatial community, which is they declared 561 00:31:25,380 --> 00:31:29,910 their interest, which is the, all the authors are members of QGIS in some 562 00:31:29,910 --> 00:31:34,080 manner, but also that they used, you know, it's again, throughout this whole 563 00:31:34,080 --> 00:31:36,120 episode, they used generative AI and ai. 564 00:31:36,225 --> 00:31:39,235 Assisted technologies in their writing process in order to 565 00:31:39,235 --> 00:31:40,495 improve their writing style. 566 00:31:40,745 --> 00:31:44,645 And I thought, you know, that goes along with the open and transparent 567 00:31:44,645 --> 00:31:49,325 nature of QGIS in order to be, again, being open and transparent about 568 00:31:49,325 --> 00:31:52,295 everything, about the authors and how they wrote the article itself. 569 00:31:52,550 --> 00:31:57,500 I wanted to bring in articles, not just, you know, big news, but also 570 00:31:57,500 --> 00:31:58,820 small news that's significant. 571 00:31:58,820 --> 00:32:04,610 In this case, the Talbot Historical Society has in Maryland, in Talbot 572 00:32:04,610 --> 00:32:09,500 County, has put up a new archive and they were working with the 573 00:32:09,500 --> 00:32:13,670 Chesapeake Bay Association and some others to help them to digitize 574 00:32:14,000 --> 00:32:15,710 large scale maps that they had. 575 00:32:15,710 --> 00:32:18,650 And then they're making it available to those in the area that. 576 00:32:19,010 --> 00:32:23,810 Are doing research or want to know more about Talbot County's history. 577 00:32:24,170 --> 00:32:28,730 And I think that this is something that gets overlooked sometimes because 578 00:32:28,730 --> 00:32:32,420 we assume, you know, everything, hasn't everything been digitized? 579 00:32:32,760 --> 00:32:34,260 But we, we know it hasn't. 580 00:32:34,260 --> 00:32:38,270 And in this case, in Maryland smaller groups, they depend on 581 00:32:38,270 --> 00:32:39,590 other people with those resources. 582 00:32:40,215 --> 00:32:42,075 To help them to do these projects. 583 00:32:42,075 --> 00:32:44,025 And it's becoming more significant. 584 00:32:44,025 --> 00:32:48,375 As you know, these materials and papers and things start to degrade or get lost 585 00:32:48,655 --> 00:32:52,405 to get them into some digital format so they can be shared with others. 586 00:32:52,855 --> 00:32:56,455 So if you're shopping for Christmas, because it's never too early to shop 587 00:32:56,455 --> 00:33:00,175 for Christmas there's kind of a cool subscription service you can, you 588 00:33:00,175 --> 00:33:04,255 can join and it's put out by the Independent Map Artists Collective, 589 00:33:04,765 --> 00:33:06,715 which is awesome that, that. 590 00:33:07,005 --> 00:33:07,935 Even exists. 591 00:33:08,325 --> 00:33:09,345 Let's just start with that. 592 00:33:09,375 --> 00:33:10,575 The independent map artist. 593 00:33:10,605 --> 00:33:10,875 Okay. 594 00:33:10,875 --> 00:33:14,685 I don't, I don't really know how you become one, but I would 595 00:33:14,685 --> 00:33:15,675 like to join that collective. 596 00:33:15,795 --> 00:33:16,575 I just put that out there. 597 00:33:16,575 --> 00:33:19,185 But I think it's just really neat that it has it out there. 598 00:33:19,695 --> 00:33:26,295 But for a subscription the, you can get five months worth of curated maps by 599 00:33:26,385 --> 00:33:28,275 the independent map artists collective. 600 00:33:28,635 --> 00:33:32,085 Each month you'll get a collection of maps that will, you know. 601 00:33:32,310 --> 00:33:39,480 Our interesting artistic math card, map map, cardiographic based products. 602 00:33:39,480 --> 00:33:41,250 You can see some of the pictures in link of the showing notes. 603 00:33:41,250 --> 00:33:44,880 And so they're taking a very general view of the term map. 604 00:33:44,880 --> 00:33:49,180 But it, it's just neat and I, and I think it's cool and I can't 605 00:33:49,180 --> 00:33:50,860 afford it, but it's really neat. 606 00:33:50,860 --> 00:33:56,230 And if, if it's something that you're into and you've looking for the 607 00:33:56,350 --> 00:33:57,760 cryptographer in your life that has. 608 00:33:58,555 --> 00:33:59,515 You know everything. 609 00:33:59,965 --> 00:34:00,895 They don't have this. 610 00:34:00,895 --> 00:34:01,675 You could get 'em this. 611 00:34:02,770 --> 00:34:05,650 I thought it was really interesting that there is an independent map artist. 612 00:34:05,650 --> 00:34:08,980 Again, something that once you hear it you're like, that makes sense. 613 00:34:09,290 --> 00:34:11,960 And I'm glad that it's, it's out there. 614 00:34:12,240 --> 00:34:16,740 Also this is, they think the, the first map of the month subscription club. 615 00:34:17,140 --> 00:34:20,170 So it, you know, is really interesting. 616 00:34:20,170 --> 00:34:23,260 There are several well-known cartographers who are participating. 617 00:34:23,540 --> 00:34:26,210 And I think it's good that you know. 618 00:34:26,285 --> 00:34:30,515 Cartographers and map artists are able to find a, a community together for 619 00:34:30,515 --> 00:34:30,845 this. 620 00:34:30,845 --> 00:34:34,445 So if you click on the independent map artist link, you'll see 621 00:34:34,445 --> 00:34:36,815 some really amazing things. 622 00:34:36,905 --> 00:34:40,570 I mean, some really cool just in the pictures that are available there. 623 00:34:40,575 --> 00:34:44,020 And, and if nothing else, it should serve as a source of. 624 00:34:44,075 --> 00:34:46,955 Inspiration for your own cardiographic attempts. 625 00:34:47,255 --> 00:34:50,735 There's, you know, there's a reason we talk about the art and science 626 00:34:50,735 --> 00:34:54,815 of cryptography because art, you know, arguably is, is the more 627 00:34:54,815 --> 00:34:57,065 important of the two, in my opinion. 628 00:34:57,305 --> 00:35:00,875 So, you know, you can see how you can do this in a much more artistic 629 00:35:00,875 --> 00:35:02,345 way, in a much more interesting way. 630 00:35:02,405 --> 00:35:03,575 It's just really cool. 631 00:35:04,295 --> 00:35:05,765 And for anyone who wonders if. 632 00:35:06,280 --> 00:35:12,010 You know, there is a job out there for artists that are doing maps. 633 00:35:12,010 --> 00:35:14,620 I always say, yes, there's, there's jobs out there. 634 00:35:14,920 --> 00:35:18,370 You know, you can be a graphic designer, you can be a cartographer, and this 635 00:35:18,370 --> 00:35:22,900 really highlights the, the creativity that that goes into the process. 636 00:35:23,230 --> 00:35:27,400 CDA has announced that is looking for nominations for its annual awards. 637 00:35:27,430 --> 00:35:29,980 Things like Lifetime achievement you know, excellence within 638 00:35:30,250 --> 00:35:32,470 Geography or helping your community. 639 00:35:32,720 --> 00:35:35,710 The honors committee is looking for any announcements. 640 00:35:35,710 --> 00:35:38,770 You have to get that into them by Friday, September 19th. 641 00:35:38,770 --> 00:35:42,040 So there's a heck of a lot of lead time for this to happen. 642 00:35:42,360 --> 00:35:45,120 But it's pretty, pretty extensive packet. 643 00:35:45,180 --> 00:35:48,600 CDA Southeastern Division of American Association, geographers 644 00:35:48,840 --> 00:35:50,910 is known for having a fairly robust. 645 00:35:51,355 --> 00:35:55,675 Series of systems from submitting papers for presentation on down to this. 646 00:35:55,975 --> 00:35:59,515 You need things like a cv, cover letter, letters of recommendations, 647 00:35:59,515 --> 00:36:00,445 all these sort of things. 648 00:36:00,715 --> 00:36:05,065 So if you know somebody that you know, you think should receive one of the 649 00:36:05,065 --> 00:36:08,305 awards, you can look at the link in the on the show notes and see the different 650 00:36:08,305 --> 00:36:09,685 types of awards available there. 651 00:36:09,925 --> 00:36:12,295 Some of them are scholarships, some of them for undergraduates, 652 00:36:12,295 --> 00:36:13,165 some of them for graduates. 653 00:36:13,165 --> 00:36:15,445 Some of them are for, professionals. 654 00:36:15,505 --> 00:36:18,625 So everywhere and in between there's some award level for 655 00:36:18,625 --> 00:36:20,425 you that you may wanna look at. 656 00:36:20,635 --> 00:36:24,265 So if you think of somebody you might wanna start getting the packet together 657 00:36:24,355 --> 00:36:26,485 now, 'cause it's due September. 658 00:36:26,545 --> 00:36:29,125 I know everyone doesn't wanna hear this, but September's just around 659 00:36:29,125 --> 00:36:31,015 the corner, so not that far away. 660 00:36:31,435 --> 00:36:35,725 And the, the conference itself is in November in Lexington, Kentucky. 661 00:36:36,445 --> 00:36:40,795 So the UN Mappers has partnered with, and I think this name's so 662 00:36:40,795 --> 00:36:46,025 cool, youth Mappers, which is the European Union Mappers to create. 663 00:36:46,260 --> 00:36:48,660 A push for open mapping in secondary schools. 664 00:36:48,810 --> 00:36:55,300 So going along with this idea of open science, open geography they are 665 00:36:55,610 --> 00:37:00,620 working together to bring this type of open mapping on a specific project. 666 00:37:00,930 --> 00:37:04,560 In this case, they are working. 667 00:37:04,945 --> 00:37:10,325 On, in this case, they're working on footprints for Afghanistan through 668 00:37:10,325 --> 00:37:12,395 the Hot Tasking Manager Project. 669 00:37:12,815 --> 00:37:17,585 Yeah, it, it's explicitly recognizing that geospatial and geospatial information 670 00:37:17,585 --> 00:37:19,565 have an important role within stem. 671 00:37:19,995 --> 00:37:24,185 You would think, given the second word is technology that it would be obvious. 672 00:37:24,635 --> 00:37:27,995 And given the fact that we just talked about earlier, there's this geospatial 673 00:37:27,995 --> 00:37:29,465 engineering degree that you can get. 674 00:37:29,465 --> 00:37:32,765 You know, there's, engineering is an aspect of it, and a lot of what 675 00:37:32,765 --> 00:37:34,265 we do is mathematically based. 676 00:37:34,265 --> 00:37:37,145 We talked about statistical models and all that sort of stuff earlier. 677 00:37:37,235 --> 00:37:40,865 And then of course, geo geodyssey or geodesy, however 678 00:37:40,865 --> 00:37:43,235 it's actually said is, you know. 679 00:37:43,865 --> 00:37:47,735 Science, so I don't understand how people don't understand that we are 680 00:37:47,735 --> 00:37:51,935 STEM embodied, but it's things like this are important to get people to 681 00:37:51,935 --> 00:37:57,215 understand at an early age that in fact we are strongly tied to a lot of the 682 00:37:57,215 --> 00:37:59,255 things that you think of as in stem. 683 00:37:59,735 --> 00:38:03,095 I know if Jesse were here, he and I were be riffing for a minute 684 00:38:03,095 --> 00:38:04,565 or two about being frustrated. 685 00:38:04,780 --> 00:38:10,760 That the, the TV show that was on CBS 15 years ago that numbers, 686 00:38:11,015 --> 00:38:14,705 numbers that was so fascinating with mathematics, like every episode was 687 00:38:14,705 --> 00:38:16,625 some form of geospatial something. 688 00:38:16,955 --> 00:38:18,215 But that's neither here nor there. 689 00:38:18,495 --> 00:38:23,510 So I. This is awesome that they are doing this and getting people engaged 690 00:38:23,570 --> 00:38:29,900 early on in an attempt to understand the roots of geospatial technology 691 00:38:29,900 --> 00:38:32,090 and how much they connect to stem. 692 00:38:32,510 --> 00:38:36,350 It's also very cool that they're using this to try to develop good. 693 00:38:37,645 --> 00:38:41,995 Building footprints for a area that doesn't have great data. 694 00:38:42,055 --> 00:38:46,825 So this is in some ways not radically different than a map out type of 695 00:38:46,825 --> 00:38:48,625 competition or a situation like that. 696 00:38:48,965 --> 00:38:52,295 And it's for the intent of making a 3D replica of the city and 697 00:38:52,295 --> 00:38:53,465 using it in virtual reality. 698 00:38:53,645 --> 00:38:57,605 So if sewer here, she and I would be riffing on virtual reality. 699 00:38:57,605 --> 00:38:58,025 Awesome. 700 00:38:58,025 --> 00:38:58,685 3D building. 701 00:38:58,685 --> 00:38:59,135 Awesome. 702 00:38:59,345 --> 00:39:03,245 So this is just a great news item all the way around. 703 00:39:03,875 --> 00:39:06,185 And I just wanna say, you said youth. 704 00:39:06,680 --> 00:39:07,430 Mappers. 705 00:39:07,910 --> 00:39:08,210 Yeah. 706 00:39:08,300 --> 00:39:13,910 For those who may not have put that together, is UNTH mappers, 707 00:39:13,910 --> 00:39:15,530 which is even more clever. 708 00:39:15,530 --> 00:39:19,910 That's, I think that's how you say it, but it is, you know, un use. 709 00:39:20,150 --> 00:39:21,500 It is a clever name. 710 00:39:21,680 --> 00:39:23,570 So the Library of Virginia. 711 00:39:24,135 --> 00:39:28,575 Has an exhibit on the first official state map and how it was made. 712 00:39:28,915 --> 00:39:34,295 And they have a story map that goes through this exhibit because they 713 00:39:34,295 --> 00:39:38,975 wanted to tell the story of a map and how it was made over 10 years and 714 00:39:38,975 --> 00:39:40,865 five governors, all those surveyors. 715 00:39:40,865 --> 00:39:44,715 That were involved, including two principal surveyors and an engraver 716 00:39:44,715 --> 00:39:48,885 because you know, back then the resources that they needed to make a map and to 717 00:39:48,885 --> 00:39:51,195 replicate it would've been an engraver. 718 00:39:51,355 --> 00:39:56,185 So this is a really interesting exhibit that showcases. 719 00:39:56,215 --> 00:40:00,355 Everything, all the, the technologies and tools that were cutting edge in 720 00:40:00,355 --> 00:40:04,615 their day that were used in order to create the, the Virginia map. 721 00:40:04,645 --> 00:40:07,225 And because it, it does have a coastal area. 722 00:40:07,225 --> 00:40:09,575 This included charting water features. 723 00:40:11,075 --> 00:40:11,405 Yeah. 724 00:40:11,405 --> 00:40:16,345 And also for those who haven't done the math, this was done between 1816 and 725 00:40:16,345 --> 00:40:18,715 1826, which means that also includes. 726 00:40:19,230 --> 00:40:23,520 Our state of West Virginia, which was then Virginia in it as well. 727 00:40:23,520 --> 00:40:25,620 And it's kind of interesting how much you know. 728 00:40:26,460 --> 00:40:28,140 It's very obvious. 729 00:40:28,320 --> 00:40:32,250 Even some of the, I'm assuming those are county boundaries that we're seeing 730 00:40:32,250 --> 00:40:36,300 on the map that some of the counties in West Virginia, you can see how 731 00:40:36,600 --> 00:40:39,900 the counties, the existing counties of West Virginia flow from that. 732 00:40:40,210 --> 00:40:42,880 They are a lot coarser size. 733 00:40:42,995 --> 00:40:46,835 Counties in this map than they are in the present day version. 734 00:40:46,835 --> 00:40:50,075 But you can see some of the lines like Mon County, where we lived there. 735 00:40:50,404 --> 00:40:52,895 There's, there's this, you can sort of see it, you know, from 736 00:40:52,895 --> 00:40:54,154 that little blob that's there. 737 00:40:54,455 --> 00:40:55,955 It's pretty cool. 738 00:40:56,134 --> 00:41:00,035 If you wanna check this out you can go see it for free at Richmond's 739 00:41:00,095 --> 00:41:02,494 library of Virginia through June 7th. 740 00:41:02,495 --> 00:41:06,405 So if you're in Richmond Virginia, you can go, just check it out. 741 00:41:06,435 --> 00:41:08,145 It's at the free public library. 742 00:41:08,565 --> 00:41:09,795 And that's it for the news. 743 00:41:11,345 --> 00:41:16,185 And in the web corner, the Paul Revere House which is a small museum 744 00:41:16,185 --> 00:41:21,884 dedicated to Paul Revere in Boston has created a spatial humanities 745 00:41:22,134 --> 00:41:23,904 tool as a way to promote membership. 746 00:41:23,904 --> 00:41:25,434 And that's what I thought was really cool. 747 00:41:25,434 --> 00:41:26,694 I actually signed up for it. 748 00:41:27,034 --> 00:41:29,044 They have a reading of Henry Ward. 749 00:41:29,384 --> 00:41:31,754 Wadsworth Longfellows, Paul Revere's ride. 750 00:41:32,094 --> 00:41:37,264 But if you sign up to be a member, they send you maps and pictures and 751 00:41:37,264 --> 00:41:38,704 other things to go along with it. 752 00:41:38,704 --> 00:41:43,284 So I thought that was really a cool incentive that, you know, uses spatial 753 00:41:43,284 --> 00:41:48,594 humanities as a way to get people to do a online donation for their organization. 754 00:41:51,539 --> 00:41:53,669 If you're in interested in any events, you should go check 755 00:41:53,669 --> 00:41:54,869 on any events in your area. 756 00:41:55,059 --> 00:41:58,839 If you have any events that you would like us to feature on the podcast, you 757 00:41:58,839 --> 00:42:01,889 can reach us at context@veryspatial.com. 758 00:42:02,249 --> 00:42:05,819 If you'd like to reach us individually, you can reach me atFrank@veryspatial.com. 759 00:42:05,924 --> 00:42:05,984 You 760 00:42:06,224 --> 00:42:08,324 can reach me at barb@veryspatial.com. 761 00:42:08,514 --> 00:42:14,094 You can reach Sue at sue@veryspatial.com, and you can reach jesse@kindofspatial.com. 762 00:42:14,214 --> 00:42:19,334 And as always, you can go over to the context very spatial.com/contact to find 763 00:42:19,334 --> 00:42:20,924 the latest content information we have. 764 00:42:21,524 --> 00:42:23,924 As always, we're the folks from very spatial. 765 00:42:24,314 --> 00:42:26,924 Thanks for listening, and we'll see you in a couple weeks. 766 00:42:37,214 --> 00:42:37,544 Built a 767 00:42:39,749 --> 00:42:40,099 stone, 768 00:42:42,349 --> 00:42:44,864 carve my dets into the wall. 769 00:42:47,204 --> 00:42:50,294 People all shouted my name. 770 00:42:52,034 --> 00:42:54,944 A world built on pleasure and fame. 771 00:42:57,134 --> 00:42:59,864 Life is a dream and a stage. 772 00:43:02,144 --> 00:43:10,424 What true can really say Choices I've made led to pain. 773 00:43:12,819 --> 00:43:12,939 I. 774 00:43:22,329 --> 00:43:27,979 What Man makes will eventually be as 775 00:43:37,209 --> 00:43:37,499 only 776 00:43:39,889 --> 00:43:44,859 love can last A and won't let go 777 00:43:47,399 --> 00:43:49,544 say Son of Man is a. 778 00:43:52,184 --> 00:43:54,524 I found he's my only, 779 00:43:57,224 --> 00:44:04,179 when every way that I plan leads me to where I. 780 00:44:27,489 --> 00:44:27,779 Only 781 00:44:29,889 --> 00:44:30,179 love.