On Kernel-Based Intensity Estimation of Spatial Point Patterns on Linear Networks

DOI10.1080/10618600.2017.1360782OpenAlexW2743695096MaRDI QIDQ3391113

Francisco J. Rodríguez-Cortés, M. Mehdi Moradi, Jorge Mateu

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2017.1360782

zbMATH Keywords

kernel estimatorintensity functionanti-social behaviorshortest-path distancestreet crimes

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

First- and Second-Order Characteristics of Spatio-Temporal Point Processes on Linear Networks, Intensity estimation on geometric networks with penalized splines, Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution, On the trend detection of time-ordered intensity images of point processes on linear networks, Inhomogeneous higher-order summary statistics for point processes on linear networks, Second-order and local characteristics of network intensity functions, Metrics and barycenters for point pattern data, Resample-smoothing of Voronoi intensity estimators

Uses Software

• SANET

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Geometric measure theory.
• Spatial Analysis along Networks
• Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology
• A Kernel Method for Smoothing Point Process Data
• Local Regression and Likelihood
• A Moving Average Approach for Spatial Statistical Models of Stream Networks
• Statistical Analysis and Modelling of Spatial Point Patterns
• Kernel Density Estimation on a Linear Network