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Published July 11, 2020 | Version v2.3.0
Software Open

pysal/esda: esda 2.3.0

Creators

  • 1. Center for Geopatial Sciences, University of California, Riverside
  • 2. Inland Center for Sustainable Development
  • 3. Penn State
  • 4. USGS Astrogeology
  • 5. European Space Agency, ESRIN
  • 6. Northern Arizona University
  • 7. EAFIT University
  • 8. Center for Spatial Data Science - University of Chicago
  • 9. @telluslabs
  • 10. @spatialucr

Description

esda

ESDA is an open-source Python library for the exploratory analysis of spatial data. A subpackage of PySAL (Python Spatial Analysis Library), esda includes methods for global and local spatial autocorrelation analysis. See the tutorial for use cases.

Version 2.3.0 (2020-07-05)

Major Enhancements
  • Highly performant multi-core, numba-based conditional permutation inference for local autocorrelation statistics (#116)
  • Adbscan: an extension of the original DBSCAN algorithm that creates an ensemble of solutions generated by running DBSCAN on a random subset and "extending" the solution to the rest of the sample through nearest-neighbor regression (see Arribas-Bel, Garcia-Lopez & Viladecans-Marsal, 2020 for more details). (#120)
Detailed Changes

We closed a total of 38 issues (enhancements and bug fixes) through 14 pull requests, since our last release on 2020-02-01.

Issues Closed
  • permutation inference performance using numba (#116)
  • Adbscan fix (#120)
  • BUG: fix join_count contingency table (#124)
  • Preferred style format of new ESDA estimators (#118)
  • G_Local returns unexpectedly low z_sim for what should be a hotspot (#112)
  • [WIP]: initial commit of ripley in numpy-oriented style (#115)
  • Tweak README.md (#117)
  • Memory efficient conditional permutation for LISA (#113)
  • ENH: More efficient Geary implementation with new test data (#114)
  • Develop separate notebooks for functionalilty (#84)
  • by_col is failing in test_by_col due to deprecation of from_item (#100)
  • Join count tail-ness (#48)
  • Noisy imports on 3.8 (#99)
  • DeprecationWarning when running spatial smoothing (#111)
  • ADBSCAN (#94)
  • DOC: fixing link in geosilhouettes notebook (#110)
  • Allow failures on 3.8 when pulling from git for testing. (#108)
  • Docs for esda not reachable (#107)
  • Tutorial (#106)
  • Tutorial (#105)
  • BUG: don't delete .nojekyll (#104)
  • Docs (#103)
  • REL: 2.2.1 bf release (#102)
  • Fixes for pandas deprecation and 3.8 verbosity (#101)
Pull Requests
  • permutation inference performance using numba (#116)
  • Adbscan fix (#120)
  • BUG: fix join_count contingency table (#124)
  • Tweak README.md (#117)
  • ENH: More efficient Geary implementation with new test data (#114)
  • ADBSCAN (#94)
  • DOC: fixing link in geosilhouettes notebook (#110)
  • Allow failures on 3.8 when pulling from git for testing. (#108)
  • Tutorial (#106)
  • Tutorial (#105)
  • BUG: don't delete .nojekyll (#104)
  • Docs (#103)
  • REL: 2.2.1 bf release (#102)
  • Fixes for pandas deprecation and 3.8 verbosity (#101)

The following individuals contributed to this release:

  • Serge Rey
  • Levi John Wolf
  • James Gaboardi
  • Dani Arribas-Bel
  • Jeffery Sauer
  • Eli Knaap

Files

pysal/esda-v2.3.0.zip

Files (33.3 MB)

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Additional details

Related works

Is supplement to
https://github.com/pysal/esda/tree/v2.3.0 (URL)