Geographical Information System and Crime Mapping

Development of Geographical Information SystemsHistory of GIS DevelopmentGeography of CrimeThe Cartographic SchoolThe Chicago SchoolThe Factor Analysis SchoolThe Emergence of Environmental Criminology and Geography of CrimeUnderstanding Spatial AnalysisTypes of Spatial AnalysisAutocorrelationSpatial InterpolationSpatial RegressionSpatial InteractionSimulation and ModelingData Types in Spatial AnalysisGeovisualizationGIS and Its ApplicationsUrbanLand UseTransportationEnvironmentCrimeLand Information SystemAgricultureForestryWater ResourcesCoastal Development and ManagementOther ApplicationsConcluding RemarksReferencesSpatial Crime MappingInteractions Between Crime, Space, and SocietyOffenders, Offenses, and PlacesCrime Prevention, Space, and CommunitiesUnderstanding Levels of CrimeCrime and SurveillanceChanging Spaces: Urban Design and CrimeSpatial Processes and CriminologySpatially Referenced Crime RatesA Spatial Alternative Measure of Crime: Location QuotientGeographic ProfilingCrime and PlaceCrime Hot SpotsSpatial Crime Theories in PracticeBiological TheoriesSociological TheoriesThe Space and Time of OffenceDistance DecayDistribution of Crime EventsSpatial-Temporal Crime AnalysisUnderstanding Crime in Time and SpaceConcluding RemarksReferencesThe Geography of Neighborhood StudiesInfiltration, Refugee Movements, and Cross-Border TerrorismInfiltrationRefugee MovementsIndia and Neighboring CountriesRefugee Movement and CrimeTerrorismTransnational TerrorismCrimes Against WomenProjected Rapes in IndiaProjected Dowry Deaths in IndiaKidnapping and AbductionCruelty by Husband and RelativesJuvenile DelinquencyInternational ScenarioIndian ScenarioTypes of DelinquencyReasons for Juvenile CrimesCrime in NCRNCR Constituent AreasCrime Scenario at National LevelCrime Scenario in NCRCrime Rate Reduction in the FutureCrimes Against WomenMeasures to Control Crime in NCRConcluding RemarksReferencesIdentifying Crime Hot SpotsSpatial Interpolation and GISInverse Distance Weight (IDW)KrigingDensityHot spot AnalysisRegression AnalysisOrdinary Least Square (OLS)Geographically Weighted Regression (GWR)Applications of Regression AnalysisConcluding RemarksReferencesCrime Mapping and Geospatial AnalysisDemographic Patterns and ProfilesDemographyCharacteristics of DemographyQuantitative and Qualitative AspectsDemographic Dividend or a DemonCrime Mapping and Geographical ConcernsNetwork AnalysisOverview of NetworksShortest PathRoad NetworksTraveling SalespeopleNetwork PartitionNetwork Analysis WorkflowTypes of Network Analysis LayersTransportation ModelingCommon Limitations and IssuesVehicle Routing ProblemConcluding RemarksReferencesMapping for Operational Police ActivitiesPolice Patrolling and SurveillanceThe Kansas City Preventive Patrol ExperimentThe Proactive Paradigm ShiftProblem-Oriented PolicingCrime Scheduling and Time ManagementStrategic Crime Analysis in Ajmer City (Rajasthan), India: Analyzing the Underlying Drivers of Crime Using Geospatial TechniquesStudy Area: Ajmer City, Rajasthan (India)A Case Study of Dargah Region, Ajmer City, Rajasthan (India)SATARK ApplicationConcluding RemarksReferencesCrime Monitoring and ManagementRole of National Crime Record Bureau (NCRB)Major Components of NCRBSafe City ConceptsBuilding Urban Safety Through Urban Vulnerabilities ReductionBuilding Urban Safety Through Urban Planning, Management, and GovernanceImproving the Governance of SafetySafe City Concept: An India PerspectiveElements of Safe CityComponents of Safe CityPolicy Making and Framework DevelopmentProcess of Policy MakingFramework DevelopmentGIS for Social WelfareGIS and SocietyReferences
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