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castlebravo92
11-27-2022, 03:41 PM
https://i.imgur.com/egczS6g.png

Map is coming along.

Anyone with some QGIS skills want to help crowd source regional towns placement to help knock out some other geographical areas?

pmulcahy11b
11-28-2022, 09:02 AM
QGIS?

I've lived in San Antonio on and off since 1983, and solid since 2003.

shrike6
11-28-2022, 11:02 AM
QGIS?


GIS is Geographic Information Systems. Not sure what QGIS is, is that similar to ArcGIS?

Ewan
11-28-2022, 12:10 PM
GIS is Geographic Information Systems. Not sure what QGIS is, is that similar to ArcGIS?

https://en.wikipedia.org/wiki/QGIS

castlebravo92
11-28-2022, 01:02 PM
QGIS is a free and pretty powerful GIS tool.

The OP output above is directly from the PNG export.

Attached is an example of zooming into the Corpus area.

Where possible, I'm trying to use pre-existing GIS data (for example, roads, land use, rivers, lakes, water).

For settlement data, I have a settlement database shapefile (that's where the smaller text "Robstown: 11,487" comes from - it's settlement name, and current 2022 population).

In T2K terms, settlements need to be re-input.

Right now, what I am doing is creating 4 different shapefiles.
1. Destroyed urban areas (Houston et al)
2. Intact large urban areas (e.g., San Antonio)
3. Settlement symbols (village, town, small city) - large cities are visualized by #2.
4. Settlement names (also has a size component)

This could technically be loaded into an Excel file also, here's basically the data needed:
1. Coordinates (lat, lon)
2. Name (string)
3. Size (village, town, small city, large city)
4. Intact (yes/no)
5. Hidden (large metro areas have dozens of towns, usually suppress all but the major ones).

From a sizing perspective, the basic heuristic I've settled on is using current 2022 pops:
<4,000 = village
<40,000 = town
<200,000 = small city
>200,000 = large city

City size affects city symbol and font size display rendering.