geos | Rust bindings for GEOS | Map library

I have a spatial grid of dimension 72 col × 24 rows. For this question, I tried to create a small polygon grid (3×3) which I hope you can run in your PC too.

As you can see it is a 3×3 grid, however the numbering of the grid cell starts from bottom left of the last row towards bottom right & again continues from left side of the middle row towards right.

I have a table with a GeoDjango GeometryField, and records include both points and polygons. I need to return those records with Point geometry within a given distance in km from a given point, for an external API. I first filter for Point records, annotate those with a Distance object, then filter for distance.

I find the generation of the filtered queryset fed to the serializer works fine in my IDE. But when I run the view, it hangs on the annotate() step, with this error:

When I try to install geoplot in either my Linux box or windows box the terminal either gets hung up or I get an error: unable to determine GEOS version . I checked geos version in anaconda and it states I have GEOS 3.8.

I've tried both pip install geoplot and the line provided on the conda-forge site for geoplot conda install -c conda-forge geoplotlib .

I've searched for a solution for the past couple hours, but no avail.

I'm trying to calculate the City area size by using Geospatial Functions like the bing_tiles_around(), geometry_union(), and st_area() with the below sample data.

I have data for a few states in the US and others are Null. While creating the maps, I would like to shade in the states with the missing value in the text but I am struggling to find the correct method. With my current code, I am unable to get the entire US map including the states with the Null value, and only the states with a certain assigned value pop up. I have also looked at previous questions posted and tried layering the maps but that gives me an error. here's how cc_df looks like

Here's my code:

I'm trying to use Cartopy to project GOES satellite imagery data onto a regular grid across the USA. I'm doing something wrong with my translation from GOES to grid at the end of this colab workbook. I'm doing this:

I am working with a large amount of CityGML 3d building data (LoD2) and imported the data using the 3D City Database (and its Importer/Exporter tool) (see https://www.3dcitydb.org/3dcitydb/) which creates a new schema in the database and uses java routines to translate the XML-style geodata to PostGIS compatible database input.

The information (spatial and non spatial) for each building is then written to different tables, where "building" table holds building meta data such as building function or street name and "surface_geometry" table holds solid and 3d surface geometries of all buildings. With columns "id", "parent_id" and "root_id" used as PKs and FKs to ensure the elements of one table can be matched to one or more elements of the other table.

Since I need 2d building footprints (or bird view polygones) for most of my analyses, I created queries to make surfaces 2d with st_force2d() before st_union()ing all 2d surface of the same building with group by on the available FK.

Are there any ideas how to improve the following code to effiecntly process a huge dataset?

The queries are

I have tried to plot polygons to map with Geopandas and Folium using Geopandas official tutorial and this dataset. I tried to follow the tutorial as literally as I could but still Folium don't draw polygons. Matplotlib map works and I can create Folium map too. Code:

I would like to extract the unit of measurement (decimal degrees, metres, feet, etc.) from a spatial object in R. For example, if I have an SF data frame that uses the WGS84 co-ordinate reference system (EPSG:4326), I would like to be able to determine that the co-ordinates are specified in decimal degrees. Similarly, I'd like to be able to determine that UTM co-ordinates (e.g. EPSG:32615) are specified in metres.

I have tried using the st_crs() function from the sf package, which returns the co-ordinate reference system in well-known text format. However, I'm struggling to be certain that a regex that extracts the unit of measurement from that well-known text will operate reliably for a wide range of co-ordinate systems.

Is there an existing function that returns the measurement unit for a spatial object?

For example, the following code produces an SF data frame that uses the WGS84 co-ordinate system: