pygeoda

USER GUIDE

  • 1. Introduction
    • 1.1 Open Resources
  • 2. Installation
    • 2.1 Windows
    • 2.2 Linux
    • 2.3 Mac
    • 2.4 Import pygeoda
  • 3. Load Spatial Data
    • 3.1 Attributes of geoda object
    • 3.2 Access Table Data
  • 4. Map Classification
    • 4.1 Hinge Box Breaks
    • 4.2 Natural Breaks
    • 4.3 Quantile Breaks
    • 4.4 Percentile Breaks
    • 4.5 Standard Deviation Breaks
  • 5. Spatial Weights
    • 5.1 Queen Contiguity Weights
    • 5.2 Attributes of Weight object
    • 5.3 Rook Contiguity Weights
    • 5.4 Distance Based Weights
    • 5.5 K-Nearest Neighbor Weights
    • 5.6 Kernel Weights
      • 5.6.1 Kernel Weights with fixed bandwidth
      • 5.6.2 Kernel Weights with adaptive bandwidth
  • 6. Local Indicators of Spatial Association
    • 6.1 Local Moran
    • 6.2 LISA object
    • 6.3 Local Geary
    • 6.4 Local Getis-Ord Statistics
    • 6.5 Local Join Count
    • 6.6 Local Bivariate Join Count
    • 6.7 Local Multivariate Join Count
    • 6.8 Quantile LISA
    • 6.9 Multivariate Quantile LISA
    • 6.10 Neighbor Match Test
    • 6.11 Bivariate Local Moran
  • 7. Spatial Clustering
    • 7.1 SKATER
    • 7.2 REDCAP
    • 7.3 Spatially Constrained Hierarchical Clucstering
    • 7.3 AZP
      • 7.3.1 AZP greedy
      • 7.3.2 AZP Simulated Annealing
      • 7.3.3 AZP Tabu Search
    • 7.4 Max-p
      • 7.4.1 Max-p greedy
      • 7.4.2 Max-p Tabu Search
      • 7.4.3 Max-p Simulated Annealing
    • 7.5 Validation
  • ESDA with pygeoda and geopandas
    • 1 GeoPandas
    • 2 Matplotlib
    • 3 GeoPandas + pygeoda
      • 3.1 Load geospatial data in GeoPandas
      • 3.2 Create pygeoda object from geodataframe
      • 3.3 ESDA with pygeoda and geopandas

API REFERENCE

  • pygeoda API
    • pygeoda (I/O)
      • pygeoda.open
      • pygeoda.geoda
    • pygeoda.weights
      • pygeoda.Weight
      • pygeoda.queen_weights
      • pygeoda.rook_weights
      • pygeoda.min_distthreshold
      • pygeoda.distance_weights
      • pygeoda.knn_weights
      • pygeoda.kernel_weights
      • pygeoda.kernel_knn_weights
    • pygeoda (LISA)
      • pygeoda.lisa
      • pygeoda.local_moran
      • pygeoda.local_bimoran
      • pygeoda.local_geary
      • pygeoda.local_multigeary
      • pygeoda.local_joincount
      • pygeoda.local_bijoincount
      • pygeoda.local_multijoincount
      • pygeoda.local_g
      • pygeoda.local_gstar
      • pygeoda.local_quantilelisa
      • pygeoda.local_multiquantilelisa
      • pygeoda.neighbor_match_test
      • pygeoda.batchlisa
      • pygeoda.batch_local_moran
    • pygeoda (spatial clustering)
      • pygeoda.skater
      • pygeoda.redcap
      • pygeoda.schc
      • pygeoda.azp_greedy
      • pygeoda.azp_sa
      • pygeoda.azp_tabu
      • pygeoda.maxp_greedy
      • pygeoda.maxp_sa
      • pygeoda.maxp_tabu
      • pygeoda.spatial_validation
      • pygeoda.Fragmentation
      • pygeoda.Diameter
      • pygeoda.Compactness
      • pygeoda.JoinCountRatio
      • pygeoda.ValidationResult
      • pygeoda.make_spatial
    • pygeoda (classify)
      • pygeoda.hinge15_breaks
      • pygeoda.hinge30_breaks
      • pygeoda.natural_breaks
      • pygeoda.quantile_breaks
      • pygeoda.percentile_breaks
      • pygeoda.stddev_breaks
    • pygeoda (data)
      • pygeoda.demean
      • pygeoda.standardize
      • pygeoda.mad
pygeoda
  • »
  • Overview: module code

All modules for which code is available

  • pygeoda.classify.breaks
  • pygeoda.clustering.azp
  • pygeoda.clustering.maxp
  • pygeoda.clustering.redcap
  • pygeoda.clustering.schc
  • pygeoda.clustering.skater
  • pygeoda.clustering.validation
  • pygeoda.data.transform
  • pygeoda.gda
  • pygeoda.sa.geary
  • pygeoda.sa.getisord
  • pygeoda.sa.joincount
  • pygeoda.sa.lisa
  • pygeoda.sa.moran
  • pygeoda.sa.neighbor_match_test
  • pygeoda.sa.quantile_lisa
  • pygeoda.weights.distance
  • pygeoda.weights.kernel
  • pygeoda.weights.queen
  • pygeoda.weights.rook
  • pygeoda.weights.weight

© Copyright 2019, Xun Li; Luc Anselin..

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