Browsing by Author "Minxuan Lan"
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Distribution Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding AreasChong Xu; Xi Chen; Lin Liu; Minxuan Lan; Debao ChenDataset Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas(MDPI AG, 2021) Chong Xu; Xi Chen; Lin Liu; Minxuan Lan; Debao ChenDistribution Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding AreasChong Xu; Xi Chen; Lin Liu; Minxuan Lan; Debao ChenDataset Assessing Potable Water Access and Its Implications for Households’ Livelihoods: The Case of Sibi in the Nkwanta North District, Ghana(MDPI AG, 2023) Kingsley Kanjin; Richard Adade; Julia Quaicoe; Minxuan LanDistribution Assessing Potable Water Access and Its Implications for Households’ Livelihoods: The Case of Sibi in the Nkwanta North District, GhanaKingsley Kanjin; Richard Adade; Julia Quaicoe; Minxuan LanDistribution Assessing Potable Water Access and Its Implications for Households’ Livelihoods: The Case of Sibi in the Nkwanta North District, GhanaKingsley Kanjin; Richard Adade; Julia Quaicoe; Minxuan LanDataset Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction(MDPI AG, 2019) Zengli Wang; Lin Liu; Hanlin Zhou; Minxuan LanDistribution Crime Geographical Displacement: Testing Its Potential Contribution to Crime PredictionZengli Wang; Lin Liu; Hanlin Zhou; Minxuan LanDistribution Crime Geographical Displacement: Testing Its Potential Contribution to Crime PredictionZengli Wang; Lin Liu; Hanlin Zhou; Minxuan LanDataset Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method(MDPI AG, 2020) Hongjie Yu; Lin Liu; Bo Yang; Minxuan LanDistribution Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging MethodHongjie Yu; Lin Liu; Bo Yang; Minxuan LanDistribution Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging MethodHongjie Yu; Lin Liu; Bo Yang; Minxuan LanDataset Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns(MDPI AG, 2022) Natalia Sypion-Dutkowska; Minxuan Lan; Marek Dutkowski; Victoria WilliamsDistribution Different Ways Ambient and Immobile Population Distributions Influence Urban Crime PatternsNatalia Sypion-Dutkowska; Minxuan Lan; Marek Dutkowski; Victoria WilliamsDistribution Different Ways Ambient and Immobile Population Distributions Influence Urban Crime PatternsNatalia Sypion-Dutkowska; Minxuan Lan; Marek Dutkowski; Victoria WilliamsDataset How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation?(MDPI AG, 2019) Zengli Wang; Lin Liu; Hanlin Zhou; Minxuan LanDistribution How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation?Zengli Wang; Lin Liu; Hanlin Zhou; Minxuan LanDistribution How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation?Zengli Wang; Lin Liu; Hanlin Zhou; Minxuan Lan