Meeting chat log
Cohort1 reviewed Transportation, Geomarketing, and Conclusion together
00:08:11 Olivier Leroy: start
00:17:50 Derek Sollberger (he/his): The Spatial R book also goes over this Bristol case study, but also normalizes the calculations (by area or by population)
00:18:50 Olivier Leroy: Reacted to "The Spatial R book a..." with 👍
00:20:50 Olivier Leroy: I just realize it was origine destination 2 lines
00:20:58 Olivier Leroy: realized*
00:21:46 Derek Sollberger (he/his): yeah, these geospatial authors really like short variable names
00:24:27 Olivier Leroy: It would become very heavy on computation
00:30:49 Derek Sollberger (he/his): so, does making desire lines reduce path-finding computation?
00:35:18 Olivier Leroy: Replying to "so, does making desi..."
My guess is yes because you just calculate one way and not lets say the five shortest one
00:44:00 Derek Sollberger (he/his): I like these case studies (reminds me of city planning courses)
00:44:12 Olivier Leroy: Reacted to "I like these case st..." with 👍
00:45:22 Olivier Leroy: Older 😛
00:46:32 Olivier Leroy: Why do all gov agency are using this old tricks of negative value for na
00:47:15 Derek Sollberger (he/his): To be fair, many of us R programmers barely really know what NA, NULL, etc. are
00:47:35 Olivier Leroy: And all the NA_ 😛
00:50:37 Olivier Leroy: Dusseldorf is large!
00:51:59 Derek Sollberger (he/his): The German regions are nuts!
https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Germany
00:52:05 Olivier Leroy: OSM is so good in Germany, so many mappers
00:52:31 Derek Sollberger (he/his): Reacted to "OSM is so good in Ge..." with 😻
00:55:18 Olivier Leroy: Raster here save a lot of calculation
00:57:38 Olivier Leroy: H3 indexes also
00:59:54 Tony Vota: I have used the gistackexchange site with success
01:00:00 Olivier Leroy: Reacted to "I have used the gist..." with 👍
01:08:59 Olivier Leroy: end