Abstract GeoPandas is an open source project to make working with geospatial vector data in Python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS. This talk will give a brief introduction to GeoPandas, highlight some of the latest developments (faster geometry operations through new vectorized functionality in Shapely 2.0, faster IO through new GDAL bindings in pyogrio and through GeoParquet, and scaling GeoPandas with Dask using the dask-geopandas subproject), and will invite for an open discussion on how ...
This workshop provides lessons on open source packages that can be used to plot and manipulate spati...
This work aim is to perform modelling and spatial analysis of the marine geological data using combi...
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensio...
Support for Python 2.7 has been dropped. GeoPandas now works with Python >= 3.5. The important API c...
Experimental: optional use of PyGEOS to speed up spatial operations (#1155). PyGEOS is a faster alte...
Plot and analyze data from geophysics sources such as radar, satellite and optical systems
Introduction to Geodata Geodata is a Python library of geospatial data collection and "pre-analysis...
GeoPandas 0.6.0 features a refactor of the internals based on the new pandas ExtensionArray interfac...
Movement data analysis is a high-interest topic in many scientific domains. Even though Python is th...
Hardware and software represent basic tools for performance of various tasks in all fields of\ud eng...
Build a complete and sophisticated mapping application from scratch using Python tools for GIS devel...
Presentation details: Deep learning with Tensorflow for identifying agricultural crops in street-l...
GemGIS is a Python-based, open-source spatial data processing library. It is capable of preprocessin...
This work describes geoserver-rest, an open-source python package that can manage the geospatial dat...
This article reviews the range of delivery platforms that have been developed for the PySAL open sou...
This workshop provides lessons on open source packages that can be used to plot and manipulate spati...
This work aim is to perform modelling and spatial analysis of the marine geological data using combi...
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensio...
Support for Python 2.7 has been dropped. GeoPandas now works with Python >= 3.5. The important API c...
Experimental: optional use of PyGEOS to speed up spatial operations (#1155). PyGEOS is a faster alte...
Plot and analyze data from geophysics sources such as radar, satellite and optical systems
Introduction to Geodata Geodata is a Python library of geospatial data collection and "pre-analysis...
GeoPandas 0.6.0 features a refactor of the internals based on the new pandas ExtensionArray interfac...
Movement data analysis is a high-interest topic in many scientific domains. Even though Python is th...
Hardware and software represent basic tools for performance of various tasks in all fields of\ud eng...
Build a complete and sophisticated mapping application from scratch using Python tools for GIS devel...
Presentation details: Deep learning with Tensorflow for identifying agricultural crops in street-l...
GemGIS is a Python-based, open-source spatial data processing library. It is capable of preprocessin...
This work describes geoserver-rest, an open-source python package that can manage the geospatial dat...
This article reviews the range of delivery platforms that have been developed for the PySAL open sou...
This workshop provides lessons on open source packages that can be used to plot and manipulate spati...
This work aim is to perform modelling and spatial analysis of the marine geological data using combi...
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensio...