Advances in Geocomputation: Geocomputation 2015--The 13th International Conference
By Jacek Malczewski, Claus Rinner. 2015
568 citations recorded by the source corpus.
The past twenty years have witnessed the emergence of alternative GIS (alt.gis) practices that are quite different from conventional GIS activities. Intellectually tied to the critical cartography pioneered by J.B. Harley in the late 1980s and early 1990s, alt.gis has evolved from early discussions on GIS & Society, critical GIS, PPGIS, feminist GIS, map stories/geonarratives, deep maps to qualitative GIS, neogeography, crowdsourcing, volunteered geographic information (VGI), geoweb, post-colonial computing, geogames, geodesign, and spatial humanities. This paper develops a preliminary framework to loosely knit together the diverse intellectual threads for Alt.gis. This paper argues that Daniel Pink’s framework for the six senses of the whole new mind (design, story, symphony, empathy, play, and meaning) captures the six major Alt.gis practices remarkably well. Mainstream GIS development has been predominantly concentrating on automated cartography/map-making, spatial modeling, geo-computation, and database development with the goal for efficiency, which tend to be closely associated with the left-side/slow thinking capabilities of the human brain. In contrast, Alt.gis focuses more on geo-narratives, qualitative/mixed methods, story-telling, and synthesis with the goal for achieving equity and social justice, which tend to be more closely associated with the right-side/fast thinking capabilities of the human brain. Evidently, Alt.gis has enabled GIS users to transcend what Heidegger called the enframing nature of technology and has led them explore new territories with greater sensitivities. In this sense, Alt.gis has become an enabling technology that continues to empower GIS users in their quest for a better, more equitable and sustainable world.
Subfields: Geography, Planning and Development, Signal Processing
View Paper: https://www.semanticscholar.org/paper/d9a69a2ccad33190de4633a17419081ce1f048c7
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Citations in the corpus
- Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, methodology): “Multiple criteria decision analysis outputs can be used for planning purposes and to facilitate decision-making processes and tools (Stauder, 2014; Malczewski and Rinner, 2015).”