Add to ORKGTO FOLLOW Key words: environmental monitoring; geostatistics; marked point processes; spatial statis-tics. 1
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...
This is the author’s version of a work that was submitted/accepted for pub-lication in the following...
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data. Prefer...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data (Chil`...
Preferential sampling refers to any situation in which the spatial process and the sampling location...
none3Statistical Approaches to Environmental Spatial Surveillance, Invited paper at the Session on S...
Geostatistical analysis results for various parameters determined in the study.</p
The fundamental objective of geostatistical data analysis is to estimate the continuous spatial proc...
Summary. Geostatistics involves the fitting of spatially continuous models to spatially discrete dat...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data (Chil`e...
In an environmental concern it happens frequently to have to manage such a broad number of data that...
Written from the perspective of both human and physical geography, this book applies elementary stat...
Traditional approaches to the delineation of subsurface contamination extent are costly and time con...
Conventional geostatistical methodology solves the problem of predicting the realised value of a lin...
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...
This is the author’s version of a work that was submitted/accepted for pub-lication in the following...
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data. Prefer...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data (Chil`...
Preferential sampling refers to any situation in which the spatial process and the sampling location...
none3Statistical Approaches to Environmental Spatial Surveillance, Invited paper at the Session on S...
Geostatistical analysis results for various parameters determined in the study.</p
The fundamental objective of geostatistical data analysis is to estimate the continuous spatial proc...
Summary. Geostatistics involves the fitting of spatially continuous models to spatially discrete dat...
Geostatistics involves the fitting of spatially continuous models to spatially discrete data (Chil`e...
In an environmental concern it happens frequently to have to manage such a broad number of data that...
Written from the perspective of both human and physical geography, this book applies elementary stat...
Traditional approaches to the delineation of subsurface contamination extent are costly and time con...
Conventional geostatistical methodology solves the problem of predicting the realised value of a lin...
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...
This is the author’s version of a work that was submitted/accepted for pub-lication in the following...
The book aims to investigate methods and techniques for spatial statistical analysis suitable to mod...