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Fuzzy-Based Spatiotemporal Hot Spot Intensity and Propagation—An Application in Crime Analysis

https://doi.org/10.3390/electronics11030370

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4613-0125-7openalex-snapshot

Combinatorial Methods in Density Estimation

inferredcites →https://doi.org/10.1007/978-1-4757-0450-1openalex-snapshot

Pattern Recognition with Fuzzy Objective Function Algorithms

inferredcites →https://doi.org/10.1007/978-3-319-23519-6_229-2openalex-snapshot

CrimeStat: A Spatial Statistical Program for the Analysis of Crime Incidents

inferredcites →https://doi.org/10.1007/978-981-13-9942-8_34openalex-snapshot

Rough-Set Based Hotspot Detection in Spatial Data

inferredcites →https://doi.org/10.1007/s00500-013-1211-7openalex-snapshot

Spatio-temporal hotspots and application on a disease analysis case via GIS

inferredcites →https://doi.org/10.1007/s00500-019-03971-yopenalex-snapshot

Hierarchical granular hotspots detection

inferredcites →https://doi.org/10.1007/s10940-005-9003-6openalex-snapshot

On The Application of Fuzzy Clustering for Crime Hot Spot Detection

inferredcites →https://doi.org/10.1007/s40815-019-00673-3openalex-snapshot

PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering

inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-snapshot

FCM: The fuzzy c-means clustering algorithm

inferredcites →https://doi.org/10.1016/j.aap.2016.08.015openalex-snapshot

A new integrated GIS-based analysis to detect hotspots: A case study of the city of Sherbrooke

inferredcites →https://doi.org/10.1016/j.eswa.2011.03.071openalex-snapshot

The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS

inferredcites →https://doi.org/10.1016/j.patcog.2016.03.008openalex-snapshot

A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method

inferredcites →https://doi.org/10.1016/j.procs.2020.03.357openalex-snapshot

A Clustering Based Hotspot Identification Approach For Crime Prediction

inferredcites →https://doi.org/10.1016/s0019-9958(72)90199-4openalex-snapshot

A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory

inferredcites →https://doi.org/10.1038/s41598-021-88822-3openalex-snapshot

A rapid density method for taxi passengers hot spot recognition and visualization based on DBSCAN+

inferredcites →https://doi.org/10.1080/19439962.2014.959583openalex-snapshot

Fuzzy Cluster–Based Method of Hotspot Detection with Limited Information

inferredcites →https://doi.org/10.1109/jstars.2012.2210699openalex-snapshot

Hotspot Analysis of Vegetation Fires and Intensity in the Indian Region

inferredcites →https://doi.org/10.1109/tfuzz.2002.805901openalex-snapshot

Fuzzy clustering with volume prototypes and adaptive cluster merging

inferredcites →https://doi.org/10.14429/dsj.68.12518openalex-snapshot

Application of Spatiotemporal Fuzzy C-Means Clustering for Crime Spot Detection

inferredcites →https://doi.org/10.2307/2982708openalex-snapshot

The Detection of Clusters in Rare Diseases

inferredcites →https://doi.org/10.24071/ijasst.v1i1.1859openalex-snapshot

Implementation of k-Medoids Clustering Algorithm to Cluster Crime Patterns in Yogyakarta

inferredcites →https://doi.org/10.25008/ijadis.v1i1.13openalex-snapshot

Application of K-Means Clustering Algorithm for Determination of Fire-Prone Areas Utilizing Hotspots in West Kalimantan Province

inferredcites →https://doi.org/10.3390/e22111200openalex-snapshot

A New Validity Index Based on Fuzzy Energy and Fuzzy Entropy Measures in Fuzzy Clustering Problems

inferredcites →https://doi.org/10.3390/e23050531openalex-snapshot

Fuzzy Entropy-Based Spatial Hotspot Reliability

inferredcites →https://doi.org/10.3390/electronics9040554openalex-snapshot

A Novel Fuzzy Entropy-Based Method to Improve the Performance of the Fuzzy C-Means Algorithm

inferredcites →https://doi.org/10.3390/ijerph8010075openalex-snapshot

Hotspot Analysis of Spatial Environmental Pollutants Using Kernel Density Estimation and Geostatistical Techniques

inferredcites →https://doi.org/10.5120/14433-2579openalex-snapshot

Crime Analysis using K-Means Clustering

inferredcites →https://doi.org/10.5120/18039-8914openalex-snapshot

Analyzing and Displaying of Crime Hotspots using Fuzzy Mapping Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Smart Circular Cities and Stakeholders Engagement: A Literature Review to Explore the Role of Artificial Intelligence

inferred← citeshttps://doi.org/10.1007/978-3-031-74723-6_34openalex-snapshot

Fuzzy Emotion Detection Method to Identify Heatwave Hot and Cold Spots in Urban Settlements

inferred← citeshttps://doi.org/10.1007/s12652-026-05096-1openalex-snapshot

A novel fuzzy clustering urban hot spot detection method—an application in crime analysis

inferred← citeshttps://doi.org/10.1007/s41324-026-00693-wopenalex-snapshot

Spatial polarization and persistent crime cores in U.S. counties: a 15-year multi-crime analysis

inferred← citeshttps://doi.org/10.1016/j.ins.2023.03.117openalex-snapshot

A novel spatiotemporal prediction method based on fuzzy Transform: Application to demographic balance data

inferred← citeshttps://doi.org/10.1109/iciss63372.2025.11076194openalex-snapshot

Optimizing Crime Classification: HQFNN with Triangulation Topology Aggregation Optimizer

inferred← citeshttps://doi.org/10.31577/cai_2023_3_568openalex-snapshot

Model for Spatiotemporal Crime Prediction with Improved Deep Learning

inferred← citeshttps://doi.org/10.32604/cmc.2024.056971openalex-snapshot

CHART: Intelligent Crime Hotspot Detection and Real-Time Tracking Using Machine Learning

inferred← citeshttps://doi.org/10.3390/computers13060143openalex-snapshot

A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios

inferred← citeshttps://doi.org/10.3390/electronics11213509openalex-snapshot

A Fuzzy Entropy-Based Thematic Classification Method Aimed at Improving the Reliability of Thematic Maps in GIS Environments

inferred← citeshttps://doi.org/10.3390/fi15010023openalex-snapshot

A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams

inferred← citeshttps://doi.org/10.3390/s25072160openalex-snapshot

A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements

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