Exploring spatial autocorrelation of traffic crashes based on severity
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
understanding of crash patterns and enhancing road safety management. The common …