Computing Platforms provide the computational capabilities to apply methods and models to geographic data. Computing Platforms vary in capability, price, and availability from mobile devices to advanced supercomputers and from standalone computers to complex networked infrastructures to address different user needs and data-processing workloads.
Topics in this Knowledge Area are listed thematically below. Existing topics are in regular font and linked directly to their original entries (published in 2006; these contain only Learning Objectives). Entries that have been updated and expanded are in bold. Forthcoming, future topics are italicized.
|Computing Infrastructures:||Software Systems:|
|Graphics Processing Units||Spatial Database Management Systems (DBMS)|
|The Cloud||Key-Value Stores / MapReduce|
|Mobile Devices||Artificial Intelligence|
|Cyber infrastructure||Software Systems|
|History of Computing & GIS&T||Examples and Applications:|
|High Performance Computing||Computational Geography|
|Grid Computing||Computational Social Science|
|Pervasive/Ubiquitous Computing||ArcGIS Online|
|Science Gateways||Google Earth Engine|
|Networks and Services:||Jupyter Notebooks|
|Internet of Things|
|Social Media Analytics|
|OGC / Web Service Standards|