Seth Goodman

New options: Percent coverage selection and weighting

24

Adds code to generate percent coverage estimates for raster cells by rasterizing vector features at a finer resolution than raster data, then aggregating back to raster data resolution. An adjustable...

No overlap counts

2

Proof of concept for a new `no_overlap` stat as discussed in #105 . Currently only works using np array raster. Limitations for other raster data seems to be rooted in...

Failure to convert relation without outer ring defined to shape

6

A relation representing a simple polygon, but without an outer ring explicitly defined will fail. See below example for relation https://www.openstreetmap.org/relation/6127139 ``` import osm2geojson resp = osm2geojson.overpass_call(''' [out:json]; relation(6127139); out;...

Unclear error handling for shp missing shx/dbf

1

When attempting to use a shapefile and you only have the .shp (not .shx / .dbf) the error you get is ultimately tied to trying to read a GeoJSON. ```...

Jacob added progress bar and 3.12 support

Test use of projections

2

Using appropriate projections could provide a more accurate distance calculation but may have a significant performance cost. I'd like to test: - how much distance calculations actually change (in various...

Explore options for accurate distance metrics that would cross antimeridian/poles for shortest distance Would be good to include some guidance around determining whether the current implementation could impact use cases...

Assess alternative implementations for calculating distance

2

Currently using SciPy's cKDTree along with a Haversine calculation for accurate distance metrics. cKDTree is now the same as KDTree as of SciPy 1.6.0 (See #12 ), but KDTree was...

Add benchmarks

1

Add some benchmarks for larger scale uses. I have tested using this to generate a global 1km distance to water dataset in one go, and remember it worked surprisingly well,...