Spatial neural network: Difference between revisions

Revision as of 05:23, 17 March 2023

Revision as of 08:24, 17 March 2023

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{{Short description|Category of tailored neural networks}}

{{distinguish|Spatial network}}{{other uses|SNN (disambiguation)}}

<!-- Pleaseplease be cautious in revising the lead/introduction since its visible and invisible texts transclude in the entry/article on: 'spatial analysis' and 'types of artificial neural networks'; please read the webpages: 'Wikipedia:INCLUDEONLY' and 'Wikipedia:PARTRANS', for understanding the properties and purposes of the used HTML tags --><onlyinclude>'''Spatial neural networks''' ('''SNNs''') constitute a supercategory of tailored [[artificial neural networks|neural networks (NNs)]] for representing and predicting geographic phenomena. They generally improve both the statistical [[Accuracy and precision|accuracy]] and [[Statistical reliability|reliability]] of the a-spatial/classic NNs whenever they handle [[Geographic data and information| geo-spatial datasets]]<!-- if you transform 'geo-spatial' into 'geospatial' or conversely, please apply the transformation everywhere -->, and also of the other spatial [[Statistical model|(statistical) models]] (e.g. spatial regression models) whenever the geo-spatial [[data set|datasets]]' variables depict [[Nonlinear system|non-linear relations]].<ref name="Morer et al. (2020)">{{cite journal |vauthors=Morer I, Cardillo A, Díaz-Guilera A, Prignano L, Lozano S |date=2020 |title=Comparing spatial networks: a one-size-fits-all efficiency-driven approach |journal=Physical review |volume=101 |issue=4 |doi=10.1103/PhysRevE.101.042301}}</ref><ref name="Gupta et al. (2021)">{{cite journal |vauthors=Gupta J, Molnar C, Xie Y, Knight J, Shekhar S |date=2021 |title=Spatial variability aware deep neural networks (SVANN): a general approach |journal=ACM Transactions on intelligent systems and technology |volume=12 |issue=6 |pages=1&ndash;21 |doi=10.1145/3466688}}</ref><ref name="Hagenauer et al. (2021)">{{cite journal |vauthors=Hagenauer J, Helbich M |date=2022 |title=A geographically weighted artificial neural network |journal=International journal of geographical information science |volume=36 |issue=2 |pages=215&ndash;235 |doi=10.1080/13658816.2021.1871618}}</ref><includeonly> Examples of SNNs are the OSFA spatial neural networks, SVANNs and GWNNs.</includeonly></onlyinclude>

==History==

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==See also==

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* [[Statistics]]

* [[Types of artificial neural networks|Neural networks' supercategories]]<!-- please, let the term 'supercategory' which is consistent with the use of 'category' and 'supercategory' in this Wikipedia's entry -->

* [[Artificial neural networks]]

* [[At-___location mapping]]

* [[Automotive navigation system]]

* [[Collaborative mapping]]

* [[Comparison of GIS software]]

* [[Concepts and Techniques in Modern Geography]]

* [[Distributed GIS]]

* [[Geographic information systems in geospatial intelligence]]

* [[Geography]]

* [[GIS Day]]

* [[Historical GIS]]

* [[Integrated Geo Systems]]

* [[Internet GIS]]

* [[List of GIS data sources]]

* [[List of GIS software]]

* [[Map database management]]

* [[Quantitative geography]]

* [[Statistics]]

* [[Spatial analysis]]

* [[TechnicalGIS geographysoftware]]

* [[Tobler's first law of geography]]

* [[Tobler's second law of geography]]

* [[Web GIS]]

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