https://github.com/ahasverus/geoda
GeoDa: An introduction to spatial data analysis
Science Score: 13.0%
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Low similarity (18.6%) to scientific vocabulary
Last synced: 9 months ago
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Repository
GeoDa: An introduction to spatial data analysis
Basic Info
- Host: GitHub
- Owner: ahasverus
- License: gpl-3.0
- Default Branch: master
- Homepage: http://geodacenter.github.io
- Size: 122 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of GeoDaCenter/geoda
Created over 5 years ago
· Last pushed over 5 years ago
https://github.com/ahasverus/geoda/blob/master/
[](https://travis-ci.org/GeoDaCenter/geoda)
# Acknowledgements #
GeoDa TM is built upon several open source libraries and source-code files.
GeoDa is the flagship program of the GeoDa Center, following a long line of software tools developed by Dr. Luc Anselin. It is designed to implement techniques for exploratory spatial data analysis (ESDA) on lattice data (points and polygons). The free program provides a user friendly and graphical interface to methods of descriptive spatial data analysis, such as spatial autocorrelation statistics, as well as basic spatial regression functionality. The latest version contains several new features such as full space-time data support in all views, a new cartogram, a refined map movie, parallel coordinate plot, 3D visualization, conditional plots (and maps) and spatial regression.
Since its initial release in February 2003, GeoDa's user numbers have increased exponentially, as the chart and map of global users above shows. This includes lab users at universities such as Harvard, MIT, and Cornell. The user community and press embraced the program enthusiastically, calling it a "hugely important analytic tool," a "very fine piece of software," an "exciting development" and more.
# Build GeoDa #
Please read the detail instructions under directory BuildTools/
[Windows](BuildTools/windows/readme.md)
[Mac OSX](BuildTools/macosx/readme.md)
[Linux/Ubuntu](BuildTools/ubuntu/readme.md)
Note: contributions of build scripts under other platforms are welcomed, please follow the structure of building script under BuildTools/.
# Internationalization #
GeoDa Internationalization (I18n) and Localization(L10n) project aims to provide an online tool that GeoDa users could help to translate the GeoDa UI to different languages.
For crowdsourcing, we use Google Spreadsheet with the public address [here](https://docs.google.com/spreadsheets/d/1iZa4wCIyTDlIRYoW7229YoZWKZ0lmIiOFsCJG3ZVw-s/edit?usp=sharing). Anyone can access this spreadsheet, and edit each translation.
# Contributors: #
* @corochasco
* Gulrukh Rakhmatullaeva
Thanks for your contributions!
# Dependencies #
Below is a list of some of these that we'd like to acknowledge.
* GDAL Libraries, version 1.10
License: X/MIT style Open Source license
Authors: many
Links: http://www.gdal.org/
* Boost Libraries, version 1.53
License: Boost Software License - Version 1.0
Authors: many
Links: http://www.boost.org/
http://www.boost.org/LICENSE_1_0.txt
* Boost.Polygon Voronoi Library, Boost version 1.53
License: Boost Software License - Version 1.0
Author: Andrii Sydorchuk
Links: http://www.boost.org/
http://www.boost.org/LICENSE_1_0.txt
* wxWidgets Cross-Platform GUI Library, version 2.9.4
License: The wxWindows Library Licence
Authors: Julian Smart, Robert Roebling, and others
Links: http://www.wxwidgets.org/
http://www.opensource.org/licenses/wxwindows.php
* CLAPACK Linear Algebra Libraries, version 3.2.1
Authors: many
License: Custom by University of Tennessee
Links: http://www.netlib.org/clapack/
http://www.netlib.org/lapack/lapack-3.2/LICENSE
* Approximate Nearest Neighbor Library, version 0.1
Note: Full source of 0.1 release included in kNN directory
Authors: Sunil Arya and David Mount
License: See kNN/AHH.h in included source files
Links: http://www.cs.umd.edu/~mount/ANN/
* FastArea.c++ source code
Note: We have based the source for functions findArea and
ComputeArea2D in our file GenGeomAlgs.h from FastArea.c++
in Journal of Graphics Tools, 7(2):9-13, 2002
Author: Daniel Sunday
License: unknown
Links: http://www.tandfonline.com/doi/abs/10.1080/10867651.2002.10487556
Owner
- Name: Nicolas Casajus
- Login: ahasverus
- Kind: user
- Location: Montpellier, France
- Company: @FRBCesab
- Website: https://nicolascasajus.fr
- Repositories: 89
- Profile: https://github.com/ahasverus
Data scientist