2018
DOI: 10.4018/978-1-5225-5261-1.ch010
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Modeling Spatial Evolution

Abstract: Geographic features in the real world are represented by spatial entities such as point, line, and area in two-dimensional surfaces. These features tend to evolve in time, thereby characterizing change in their physical identity, evolution into new species, thus describing geomorphological change of geographic features. These phenomena can be formalized using spatio-temporal relations. Formal representation of changing geographic (spatial) features is the interest of this chapter. Formal methods for representi… Show more

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Cited by 2 publications
(1 citation statement)
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“…Such an event occurring consecutively in the temporal range is referred to as Geo-spatial process. Eventually, these computations are the essentials of geomorphology Jayanthi and Uma (2018).Apparently,thephenomenalchangeresultingduetocriticaldeforestationactivitieslikeforest fire,loggingandcattleranchingcauseslandcoverdeformationingeographicregionssuchasforest, farmlands,landscapesetc.Automatedreasoninginvolvesqualitativeanalyticsonspatialrelations. Temporaldescriptionofsuchspatialrelationsessentiallyprovidescomprehensiveresultsinqualitative predictionofGeo-spatialdynamism.Thus,informationprocessingtowardsqualitativeanalysisonsuch factsinvolveslogicalcomputationonspatialrelationsbyconsideringthetemporalfactors (Galton etal.,2005;Kangetal.,2016;Liuetal.,2015).ThisworkaimsatinvestigatingSpatio-Temporal Knowledge Representation and Reasoning (STKRR) approaches towards qualitative analysis of Geo-spatialdynamism.Further,aknowledgebasedgeographicprocessinferencesystemisproposed.…”
Section: Introductionmentioning
confidence: 99%
“…Such an event occurring consecutively in the temporal range is referred to as Geo-spatial process. Eventually, these computations are the essentials of geomorphology Jayanthi and Uma (2018).Apparently,thephenomenalchangeresultingduetocriticaldeforestationactivitieslikeforest fire,loggingandcattleranchingcauseslandcoverdeformationingeographicregionssuchasforest, farmlands,landscapesetc.Automatedreasoninginvolvesqualitativeanalyticsonspatialrelations. Temporaldescriptionofsuchspatialrelationsessentiallyprovidescomprehensiveresultsinqualitative predictionofGeo-spatialdynamism.Thus,informationprocessingtowardsqualitativeanalysisonsuch factsinvolveslogicalcomputationonspatialrelationsbyconsideringthetemporalfactors (Galton etal.,2005;Kangetal.,2016;Liuetal.,2015).ThisworkaimsatinvestigatingSpatio-Temporal Knowledge Representation and Reasoning (STKRR) approaches towards qualitative analysis of Geo-spatialdynamism.Further,aknowledgebasedgeographicprocessinferencesystemisproposed.…”
Section: Introductionmentioning
confidence: 99%