#rasterio sets the benchmark for #GDAL as central in the handling of general "datasets to open" schemes

https://github.com/rasterio/rasterio/discussions/2897

I have been working on a set of hierarchical hexagonal European population projections based on @WorldPopProject using @qgis @geopandas and #rasterio

#DataVisualization

This is then a population density render using @qgis @geopandas and #rasterio 1km² #population data at an #European scale including a reasonable chunk of #EasternEurope

Just 😍

I couldn't wait, so here's a work-in-progress #mosaic of #SwissTOPO aerial imagery. All thanks to #Python, #RasterIO, #GDAL, and a few late night coding sessions.

I can't get over the quality of these images, especially that water. ✨

Has anyone in the maphive used #GDAL or #rasterio to sieve *a targeted value* in a #raster

I'm having some success with these tools to weed out small polygons globally, but I'm actually aiming to affect one DN/class and not the others.

https://gdal.org/programs/gdal_sieve.html#gdal-sieve

#maps

After fighting #GDAL, #RasterIO, and a million other tools for a couple evenings, I finally have a pipeline that can create unified Slippy #map tiles from a mix of #GeoTIFFs and other tiles, all across multiple projections!

It feels like a huge win on the way to a scalable raster pipeline.

I'm sure this is child's play for experienced raster data wranglers, but it feels so good for my first major success!

@TheRealJimShady Yeah, thanks had not seen that #rasterio #python #geopandas

Population density map of #India 🇮🇳.

On the map, you can see many dark hotspots denoting densely populated cities and towns, mixed in with lighter regions with less people. All major #Indian cities show high population densities, including #NewDelhi, #Kolkata, #Chennai, #Bengaluru, #Hyderabad, and #Mumbai.

I created this map in #python using #matplotlib #geopandas #rasterio packages. For population data, I used the 2022 GHS population grid data.

#30daymapchallenge #datavisualization #dataviz

#30DayMapChallenge day 15 - Food/Drink

Feeling pretty proud of myself to have made it to the halfway point. I feel like I've learned a lot so far but there have been some really cool maps I've seen others do which has #inspired me to explore new tools😊

Today I used raster data to create a #topography map of the #Champagne region of #France. I used #QGIS to manually draw a .shp to clip the raster and then #rasterio, #matplotlib, #earthpy and #numpy to build the map.

#datadon #DataScience

sometimes you go to do a quick thing and it turns into a long thing that should have been a quick thing if you had remembered a thing. Anyway... here's a tale of reprojecting a epsg:4326 geoTIFF to web mercator https://chrishavlin.github.io/post/to_web_mercator_1/ #python #rasterio #maps