GeoDa 1.22.0.10

What's Changed

• [Fix] Build for Ubuntu 24.04 by @lixun910 in #2494
• [Fix] reprojection not working when adding basemap layer by @lixun910 in #2500
• [Bug] the sample list items are overflow the notebook container by @lixun910 in #2502

Full Changelog: v1.22.0.8...v1.22.0.10

GeoDa 1.22.0.8

What's Changed

• [Fix] Connect to Data Source window does not scale properly (Ubuntu) by @lixun910 in #2492
• [Build] Add Mac OSX Arm64 build for M chips
• [Build] Add Ubuntu 24.04 build

Full Changelog: v1.22.0.6...v1.22.0.8

GeoDa 1.22.0.6

What's Changed

• [Data] update Chicago Community Areas sample data
• [Chore] upgrade to gdal 3.8.4 and wxWidgets 3.2.4 on MacOS
• [Feat]: support Arrow

Full Changelog: v1.22.0.4...v1.22.0.6

GeoDa 1.22.0.4

Fixes and new features:

• Feature: support parquet file
• Feature: add Ubuntu jammy build
• Fix: Migrate Stamen base map to Stadia
• Fix: Recent/Sample Data panel cannot be turned back on
• Data: add sample dataset pages:
  • Chicago Community Areas
  • Chicago Carjackings
  • Chicago SDOH
  • Ceara Zika
  • Oaxaca Development
  • Italy Community Banks
  • Spirals

GeoDa 1.22 Beta

See attachments for GeoDa 1.22 beta installers

GeoDa 1.22 alpha

@lanselin @jkoschinsky Here are the installers of GeoDa 1.22 alpha:
Installers:

• Mac OS: https://github.com/GeoDaCenter/geoda/actions/runs/5546182155
• Windows: https://github.com/GeoDaCenter/geoda/actions/runs/5546182154
• Ubuntu: https://github.com/GeoDaCenter/geoda/actions/runs/5546182158

Please let me know of any issues and questions. Thanks!

GeoDa 1.20.0.36

Fix MST and order issue in HCluster
Fix windows wxwidgets debug msg

GeoDa V1.20.0.22

Fix: date field in table property editor crash windows #2403
Fix: did save bug + Portuguese #2399
Fix: restore proj4 db files for windows/ubuntu #2388

GeoDa v1.20.0.12

Fixes:

update 5/15/2022

• fix: map not displayed in Unique Value map w/ join count option #2387
• Fix: proj4 doesn't work on macos #2386
• Fix windows installer for multiusers #2379
• remove osm blackandwhite basemap #2378
• fix: cartogram initial canvas offset #2377
• fix: windows dll registry issue #2376
• fix: 3D plot and windows installer #2360
• fix dbf read issue; treat EMPTY as NULL value in string type column #2355
• fix weights creation dialog UI issue on ubuntu #2348

GeoDa v1.20

Features:

1. Spatial validation

Spatial validation provides a collection of validation measures including (1) fragmentations (entropy, simpson), (2) join count ratio, (3) compactness (isoperimeter quotient) and (4) diameter.

Fragmentation is a measure of spatial validation of clusters. It includes:

1. entropy, which measures the fraction of observations in each cluster
2. entropy*, which is the standardized entropy measure
3. simpson, which is an index for diversity measure in each cluster
4. simpson*, which is the standardized simpson measure

For non-spatially constrained clusters, the validation also reports cluster_fragmentation, which is a list of Fragmentation objects for each cluster, or None for spatially constrained clusters.

JoinCountRatio is measure of join counts (the number of times a category is surrounded by neighbors of the same category) over the total number of neighbors after converting each category to a dummy variable. It includes:

1. neighbors, the total number of neighbors of elements in a cluster
2. join count, the total join count of elements in a cluster
3. ratio: the ratio of total join count over total neighbors

Compactness is a measure of isoperimeter quotient for each spatially constrained cluster. It includes:

1. area, the area of a cluster. For points, the convex hull is used to compute the area.
2. perimeter, the perimeter of a cluster. For points, the convex hull is used to compute the perimeter
3. isoperimeter_quotient, (4 * pi * area) / (perimeter^2)

Diameter is a measure of the longest shortest distance between any pairs in a cluster. It includes:

1. steps, the longest shortest distance between any pairs
2. ratio, the ratio of steps over the number of elements in the cluster

2. Make Spatial

Make spatially constrained clusters from spatially non-constrained clusters using the contiguity information from the input weights

3. SC K Means

Spatially constrained K Means clustering algorithm implemented.

4. Join Count Ratio for Unique Value Maps

Add join count ratio option for unique value maps

5. Block Weights

Add block weights option in the contiguity weights creation

6. Cluster Map Match

Compare two clustering results using cluster map match.

7. Windows Installer for lab environment

Create installer for Windows 7+, which can be used in a Windows Lab Environment.

8. Add installer for Apple M1

Fixes:

• Weights creation from polygons wrong: double precision epsilon was not handled in weights creation code.
• fix issue that 3D plot doesn't work on Mac OS with version > 1.18.0.6
• Update GeoDa-win7+.iss for issue MS 2015-2019 Redist problems #2360