This paper presents a SAS macro to estimate adaptive spatial sampling, which has been used to survey rare species. This technique is computationally difficult because of use of algorithms with GIS features such the creation of a grid, points inside polygons and contiguity. The results indicates that the SAS macro that was developed was capable of incorporating these GIS features, as well as estimating the parameters of the adaptive spatial sampling
The statistical analysis of data which is measured over a spatial region is well established as a sc...
Several modelling tools were utilised to develop maps predicting the suitability of the Fiji Islands...
Sampling bias contained in data of biological surveys is very common. Bias is clearly a function of ...
[[abstract]]An increasing interest in exploring spatial non-stationarity has generated several speci...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
OSSA is a set of algorithms developed for spatial sampling designs in absence of any prior informati...
Recent years have seen an intensive development in the field of spatial sampling methods, which gene...
In many environmental management problems, the construction of occurrence maps of species of interes...
Sampling to assess rare tree species poses methodic problems, because they may cluster and many plot...
c.orton(giucl.ac.uk Abstract. A new approach to spatial sampling, adaptive cluster sampling, differs...
•SAS, the statistical analysis, data management and graphics system (with SAS/GRAPH) offers several ...
The field of statistical shape analysis involves methods for studying the geometrical properties of ...
The designation of species richness hotspots is becoming increasingly important as the United Kingdo...
The identification of disease hotspots is an increasingly important public health problem. While geo...
Thesis (M.A.)--Humboldt State University, Biological Sciences, 2009A sampling design that can provid...
The statistical analysis of data which is measured over a spatial region is well established as a sc...
Several modelling tools were utilised to develop maps predicting the suitability of the Fiji Islands...
Sampling bias contained in data of biological surveys is very common. Bias is clearly a function of ...
[[abstract]]An increasing interest in exploring spatial non-stationarity has generated several speci...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
OSSA is a set of algorithms developed for spatial sampling designs in absence of any prior informati...
Recent years have seen an intensive development in the field of spatial sampling methods, which gene...
In many environmental management problems, the construction of occurrence maps of species of interes...
Sampling to assess rare tree species poses methodic problems, because they may cluster and many plot...
c.orton(giucl.ac.uk Abstract. A new approach to spatial sampling, adaptive cluster sampling, differs...
•SAS, the statistical analysis, data management and graphics system (with SAS/GRAPH) offers several ...
The field of statistical shape analysis involves methods for studying the geometrical properties of ...
The designation of species richness hotspots is becoming increasingly important as the United Kingdo...
The identification of disease hotspots is an increasingly important public health problem. While geo...
Thesis (M.A.)--Humboldt State University, Biological Sciences, 2009A sampling design that can provid...
The statistical analysis of data which is measured over a spatial region is well established as a sc...
Several modelling tools were utilised to develop maps predicting the suitability of the Fiji Islands...
Sampling bias contained in data of biological surveys is very common. Bias is clearly a function of ...