The PySAL Ecosystem: Philosophy and Implementation-Reference-Cited by-同舟云学术

The PySAL Ecosystem: Philosophy and Implementation

Published:2021-06 Issue: Volume: Page:
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr Anal

Author:

Rey Sergio J.¹^ORCID,Anselin Luc²^ORCID,Amaral Pedro³,Arribas‐Bel Dani⁴^ORCID,Cortes Renan Xavier¹,Gaboardi James David⁵^ORCID,Kang Wei¹^ORCID,Knaap Elijah¹,Li Ziqi⁶^ORCID,Lumnitz Stefanie⁷,Oshan Taylor M.⁸,Shao Hu⁹,Wolf Levi John¹⁰^ORCID

Affiliation:

1. Center for Geospatial Sciences University of California Riverside CA USA

2. Center for Spatial Data Science University of Chicago Chicago IL USA

3. Department of Economics Universidade Federal de minas Gerais Minas Gerais Brazil

4. Department of Geography and Planning University of Liverpool Liverpool UK

5. The Pennsylvania State University University Park PA USA

6. School of Geographical Sciences and Urban Planning Arizona State University Tempe AZ USA

7. University of British Columbia Vancouver BC Canada

8. University of Maryland College Park MD USA

9. Environmental Systems Research Institute (ESRI) Redlands CA USA

10. University of Bristol Bristol UK

Funder

National Science Foundation

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12276

Reference91 articles.

1. Open Science Challenges, Benefits and Tips in Early Career and Beyond;Allen C.;PLOS Biology,2019

2. Testing for Spatial Error Dependence in Probit Models;Amaral P. V.;Letters in Spatial and Resource Sciences,2013

3. Local Indicators of Spatial Association‐LISA;Anselin L.;Geographical Analysis,1995

4. A Course on Geographic Data Science;Arribas‐Bel D.;The Journal of Open Source Education,2019

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