Point process models for presence‐only analysis
Presence‐only data are widely used for species distribution modelling, and point process
regression models are a flexible tool that has considerable potential for this problem, when …
regression models are a flexible tool that has considerable potential for this problem, when …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Equivalence of MAXENT and Poisson point process models for species distribution modeling in ecology
Modeling the spatial distribution of a species is a fundamental problem in ecology. A number
of modeling methods have been developed, an extremely popular one being MAXENT, a …
of modeling methods have been developed, an extremely popular one being MAXENT, a …
[图书][B] Statistical analysis and modelling of spatial point patterns
J Illian, A Penttinen, H Stoyan, D Stoyan - 2008 - books.google.com
Spatial point processes are mathematical models used to describe and analyse the
geometrical structure of patterns formed by objects that are irregularly or randomly …
geometrical structure of patterns formed by objects that are irregularly or randomly …
Spatstat: an R package for analyzing spatial point patterns
A Baddeley, R Turner - Journal of statistical software, 2005 - jstatsoft.org
spatstat is a package for analyzing spatial point pattern data. Its functionality includes
exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic …
exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic …
[图书][B] Applied spatial statistics for public health data
LA Waller, CA Gotway - 2004 - books.google.com
While mapped data provide a common ground for discussions between the public, the
media, regulatory agencies, and public health researchers, the analysis of spatially …
media, regulatory agencies, and public health researchers, the analysis of spatially …
[图书][B] Statistical inference and simulation for spatial point processes
J Moller, RP Waagepetersen - 2003 - books.google.com
Spatial point processes play a fundamental role in spatial statistics and today they are an
active area of research with many new applications. Although other published works …
active area of research with many new applications. Although other published works …
entropart: An R package to measure and partition diversity
entropart: An R Package to Measure and Partition Diversity Page 1 JSS Journal of Statistical
Software October 2015, Volume 67, Issue 8. doi:10.18637/jss.v067.i08 entropart: An R Package …
Software October 2015, Volume 67, Issue 8. doi:10.18637/jss.v067.i08 entropart: An R Package …
Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm
In this paper we first describe the class of log-Gaussian Cox processes (LGCPs) as models
for spatial and spatio-temporal point process data. We discuss inference, with a particular …
for spatial and spatio-temporal point process data. We discuss inference, with a particular …
Ecological information from spatial patterns of plants: insights from point process theory
Summary 1 This article reviews the application of some summary statistics from current
theory of spatial point processes for extracting information from spatial patterns of plants …
theory of spatial point processes for extracting information from spatial patterns of plants …