Human Machine Interaction - Getting Closer 2012
DOI: 10.5772/28649
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New Frontiers for WebGIS Platforms Generation

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Cited by 1 publication
(3 citation statements)
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“…All GIS software use several predefined algorithms and also give opportunity to frame own algorithm to user. There are numerous standards bodies and specification programmes like Open Geospatial Consortium Web Services (OGC Web Services) provided models for metadata documentation; Web Feature Service (WFS) provides service-based vector information as feature collections; shapefile of ESRI used in spatial data domain; GeoRSS (RSS: Really Simple Syndication) used in Google Map; GeoJSON (JSON: JavaScript Object Notation) used in mapping and GIS packages for relating objects with location information; Tiled Maps used in small images; GML (Geography Markup Language) used in modelling and storing spatial and non-spatial geographic information; GDAL (Geospatial Data Abstraction Library) used as a translator library for geospatial raster data formats (Pasquale et al, 2012). It is therefore there are AI and ML methods/programmes for remotely sensed spatial data labelling and clustering, supervised/unsupervised classification, change detection, GIS analysis and like these for so many others.…”
Section: Geographical Machine Learningmentioning
confidence: 99%
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“…All GIS software use several predefined algorithms and also give opportunity to frame own algorithm to user. There are numerous standards bodies and specification programmes like Open Geospatial Consortium Web Services (OGC Web Services) provided models for metadata documentation; Web Feature Service (WFS) provides service-based vector information as feature collections; shapefile of ESRI used in spatial data domain; GeoRSS (RSS: Really Simple Syndication) used in Google Map; GeoJSON (JSON: JavaScript Object Notation) used in mapping and GIS packages for relating objects with location information; Tiled Maps used in small images; GML (Geography Markup Language) used in modelling and storing spatial and non-spatial geographic information; GDAL (Geospatial Data Abstraction Library) used as a translator library for geospatial raster data formats (Pasquale et al, 2012). It is therefore there are AI and ML methods/programmes for remotely sensed spatial data labelling and clustering, supervised/unsupervised classification, change detection, GIS analysis and like these for so many others.…”
Section: Geographical Machine Learningmentioning
confidence: 99%
“…As Alesheikh, Helali and Behroz (2002) mentioned, it is the visual interaction with web bigdata involving many geographical datasets where client using web server prepares maps, diagrams, charts, and so many things and those productions can be easily accessed to anyone, anytime, from anywhere. Pasquale et al (2012) prepared the development of WebGIS platforms for tourism promotion and heritage conservation. ESRI ArcGIS Online and QGIS are very much remarkable WebGIS platforms today.…”
Section: Webgismentioning
confidence: 99%
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