From 31fae63649ecc4be3f692710a4af11e655ecd4bc Mon Sep 17 00:00:00 2001 From: Eduardo Lacerda Date: Fri, 19 Jun 2020 05:18:37 -0300 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b593bc1..2b4586c 100644 --- a/README.md +++ b/README.md @@ -326,6 +326,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana * [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python. * [pandana](https://github.com/UDST/pandana) - Pandas Network Analysis - dataframes of network queries, quickly. * [xarray ](http://xarray.pydata.org/en/stable/) - xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. +* [xarray-spatial](https://github.com/makepath/xarray-spatial) - xarray-spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis. * [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data. * [MovingPandas](https://github.com/anitagraser/movingpandas) - MovingPandas implements a Trajectory class and corresponding methods based on GeoPandas. * [Shapely](https://pypi.python.org/pypi/Shapely) :star2: - Manipulation and analysis of geometric objects in the Cartesian plane.