geospatial-data

The gdal/swig/python/samples/ogr_layer_algebra.py should be promoted to an official Python script

Steps:

• move it to gdal/swig/python/scripts
• create a new test script for it in autotest/pyscripts/test_ogr_layer_algebra.py
• write a documentation page in doc/source/programs/ogr_layer_algebra (and link it to the index)

Is there a way to know when the imagery was collected? I assume sometime in the daylight hours, and probably recently(?) but I have no way of knowing by looking at the output and the associated image.

Can that output be put in the CLI output or some other metadata file that gets associated with the LC####### directory?

In the event payload the return type of layer is `L.Layer? so it needs to be casted to the Layer-Type.

layer.on('pm:edit', (e) => {
  if(e.shape === 'Polygon'){
     (e.layer as Polygon).getLatLngs();
  }
});

I think following should work too: (But not tested)

layer.on('pm:edit', (e) => {
  if(e.layer instanceof L.Polygon){
     (e.layer as Polygon).getLatLngs();
  }

It would be great to mention this in the relevant chapter: https://github.com/walkerke/crsuggest

Specifically it would fit perfectly here: https://geocompr.robinlovelace.net/reproj-geo-data.html#which-crs-to-use

Heads-up @walkerke, awesome package, let me know if you've any comments/suggestions on describing the package and thanks for developing it!

In episode _episodes_rmd/12-time-series-raster.Rmd

There is a big chunk of code that can probably be made to look nicer via dplyr:

# Plot RGB data for Julian day 133
 RGB_133 <- stack("data/NEON-DS-Landsat-NDVI/HARV/2011/RGB/133_HARV_landRGB.tif")
 RGB_133_df <- raster::as.data.frame(RGB_133, xy = TRUE)
 quantiles = c(0.02, 0.98)
 r <- quantile(RGB_133_df$X133_HARV_landRGB.1, q

Expected behavior and actual behavior

Cropping any raster with any GeoVector should work. Instead, if the GeoVector is bigger than the world, an error is raised.

simple_world.geojson.zip

Steps to reproduce the probl

It'd be great if by default geospatial plots did not truncate axis ticks.

In the meantime, there is an easy one liner to change a setting to display axis ticks without truncation: plt.ticklabel_format(style="plain")

I only found out about this later

Lines L315:L325 in Lesson 5 advocate for subsetting columns without comma notation:

head(gapminder[3])

I'd argue that for clarity sake, we should change this to always use comma notation:

head(gapminder[,3]

See #86

Investigate how to build a .deb installer.