2022 QUARTER 03

A B C D E F G H I J K L M N O P R S T U V W
GS-06 - Public participation GIS
  • Critique the assertion that public participation GIS promotes democracy
  • Explain how community organizations’ use of geospatial technologies can alter existing community power relations
  • Explain how geospatial technologies can assist community organizations at each rung of the ladder of public participation
  • Explain the challenge of representing within current GIS software local knowledge that is neither easily mapped nor verified
  • Discuss advantages and disadvantages of six models of GIS availability, including communitybased GIS, university-community partnerships, GIS facilities in universities and public libraries, “Map rooms,” Internet map servers, and neighborhood GIS centers.
  • Explain why some community organizations may encounter more difficulty than others in acquiring geospatial data from public and private organizations
GS-05 - Public participation in governing
  • Differentiate among universal/deliberative, pluralist/representative, and participatory models of citizen participation in governing
  • Defend or refute the argument that local knowledges are contested
  • Explain how community organizations represent the interests of citizens, politicians, and planners
  • Explain and respond to the assertion that “capturing local knowledge” can be exploitative
  • Describe an example of “local knowledge” that is unlikely to be represented in the geospatial data maintained routinely by government agencies
  • Explain how legislation such as the Community Reinvestment Act of 1977 provides leverage to community organizations
  • Describe the range of spatial scales at which community organizations operate
  • Compare the advantages and disadvantages of group participation and individual participation
  • Describe the six “rungs” of increasing participation in governmental decision-making that constitute a “ladder” of public participation
KE-28 - Publications
  • Describe the leading academic journals serving the GIS&T community
  • Select association and for-profit journals that are useful to entities managing enterprise GISs
  • Select and describe the leading trade journals serving the GIS&T community
  • Develop a bibliography of scholarly and professional articles and/or books that are relevant to a particular GIS&T project
PD-31 - PySAL and Spatial Statistics Libraries

As spatial statistics are essential to the geographical inquiry, accessible and flexible software offering relevant functionalities is highly desired. Python Spatial Analysis Library (PySAL) represents an endeavor towards this end. It is an open-source python library and ecosystem hosting a wide array of spatial statistical and visualization methods. Since its first public release in 2010, PySAL has been applied to address various research questions, used as teaching materials for pedagogical purposes in regular classes and conference workshops serving a wide audience, and integrated into general GIS software such as ArcGIS and QGIS. This entry first gives an overview of the history and new development with PySAL. This is followed by a discussion of PySAL’s new hierarchical structure, and two different modes of accessing PySAL’s functionalities to perform various spatial statistical tasks, including exploratory spatial data analysis, spatial regression, and geovisualization. Next, a discussion is provided on how to find and utilize useful materials for studying and using spatial statistical functions from PySAL and how to get involved with the PySAL community as a user and prospective developer. The entry ends with a brief discussion of future development with PySAL.

PD-11 - Python for GIS

Figure 1. PySAL within QGIS Processing Toolbox: Hot-spot analysis of Homicide Rates in Southern US Counties.

 

Python is a popular language for geospatial programming and application development. This entry provides an overview of the different development modes that can be adopted for GIS programming with Python and discusses the history of Python adoption in the GIS community. The different layers of the geospatial development stack in Python are examined giving the reader an understanding of the breadth that Python offers to the GIS developer. Future developments and broader issues related to interoperability and programming ecosystems are identified.

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