PySAL

GPTKB entity

Statements (62)
Predicate Object
gptkbp:instanceOf gptkb:software
gptkbp:citation Rey, S. J., & Anselin, L. (2010). PySAL: A Python Library for Spatial Analytical Methods. The Review of Regional Studies, 37(1), 5-27.
gptkbp:component gptkb:libpysal
gptkb:mapclassify
gptkb:pointpats
gptkb:splot
segregation
spaghetti
esda
giddy
mgwr
spglm
spint
spopt
spreg
spvcm
tobler
gptkbp:documentation https://pysal.org/
gptkbp:domain spatial analysis
geospatial data science
gptkbp:feature spatial statistics
spatial inequality
spatial data visualization
spatial clustering
spatial econometrics
spatial network analysis
geographically weighted regression
spatial accessibility
spatial autocorrelation
spatial data classification
spatial dynamics
spatial optimization
spatial point pattern analysis
spatial regression
spatial segregation
spatial weights
gptkbp:firstReleased 2007
https://www.w3.org/2000/01/rdf-schema#label PySAL
gptkbp:license gptkb:BSD_license
gptkbp:maintainedBy gptkb:PySAL_Developers
gptkbp:programmingLanguage gptkb:Python
gptkbp:repository https://github.com/pysal/pysal
gptkbp:usedFor gptkb:networkx
gptkb:geopandas
gptkb:matplotlib
gptkb:pandas
gptkb:scikit-learn
environmental modeling
urban analytics
geospatial analytics
regional science
exploratory spatial data analysis
public health spatial analysis
shapely
spatial accessibility modeling
spatial data science research
spatial econometric modeling
transportation analysis
gptkbp:bfsParent gptkb:NumFOCUS
gptkb:CyberGIS-Jupyter
gptkb:carto-ml
gptkbp:bfsLayer 7