Exploring spatial autocorrelation of traffic crashes based on severity

A Soltani, S Askari - Injury, 2017 - Elsevier
As a develo** country, Iran has one of the highest crash-related deaths, with a typical rate
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …

Restoring forest resilience: from reference spatial patterns to silvicultural prescriptions and monitoring

DJ Churchill, AJ Larson, MC Dahlgreen… - Forest Ecology and …, 2013 - Elsevier
Stand-level spatial pattern influences key aspects of resilience and ecosystem function such
as disturbance behavior, regeneration, snow retention, and habitat quality in frequent-fire …

[HTML][HTML] GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran

GA Shafabakhsh, A Famili, MS Bahadori - Journal of traffic and …, 2017 - Elsevier
There is a growing concern in traffic accident rate in recent years. Using Mashhad city (Iran
second populous city) traffic accident records as case study, this paper applied the …

[BUCH][B] Environmental criminology: Evolution, theory, and practice

MA Andresen - 2019 - taylorfrancis.com
The field of environmental criminology is a staple theoretical framework in contemporary
criminological theory. This fully revised and expanded edition of the world's first …

A comparison of methods for the statistical analysis of spatial point patterns in plant ecology

GLW Perry, BP Miller, NJ Enright - Plant ecology, 2006 - Springer
We describe a range of methods for the description and analysis of spatial point patterns in
plant ecology. The conceptual basis of the methods is presented, and specific tests are …

Spatial statistics is a comprehensive tool for quantifying cell neighbor relationships and biological processes via tissue image analysis

HD Summers, JW Wills, P Rees - Cell Reports Methods, 2022 - cell.com
Automated microscopy and computational image analysis has transformed cell biology,
providing quantitative, spatially resolved information on cells and their constituent molecules …

Comparison of planar and network K-functions in traffic accident analysis

I Yamada, JC Thill - Journal of Transport Geography, 2004 - Elsevier
The network and planar K-function methods are applied to traffic accident data to illustrate
the risk of false positive detection associated with the use of a statistic designed for a planar …

[BUCH][B] A companion to forensic anthropology

D Dirkmaat - 2012 - books.google.com
A Companion to Forensic Anthropology presents the most comprehensive assessment of
the philosophy, goals, and practice of forensic anthropology currently available, with …

Network density estimation: a GIS approach for analysing point patterns in a network space

G Borruso - Transactions in GIS, 2008 - Wiley Online Library
Human activities and more generally the phenomena related to human behaviour take place
in a network‐constrained subset of the geographical space. These phenomena can be …

GIS-based method for detecting high-crash-risk road segments using network kernel density estimation

AS Mohaymany, M Shahri… - Geo-spatial Information …, 2013 - Taylor & Francis
Identifying high-crash-risk road segments provides safety specialists with an insight to better
understanding of crash patterns and enhancing road safety management. The common …