Spatial interpolation methods are very popular in geosciences. Among these, trend surface analysis (TSA), inverse-distance interpolation, splines, and kriging are the most commonly used. Although vegetation science handles many spatial aspects of ecological data, these methods have experienced less appreciation. TSA and kriging interpolations are discussed in the present paper. Detailed formulations of the techniques are given, and their advantages and flaws briefly discussed. Two example data sets are used to elucidate the applications of these methods in the interpretation of ordination diagrams
Geographical information systems could be improved by adding procedures for geostatistical spatial a...
This unit is the first of two that focuses on spatial interpolation—the procedure of estimating the ...
Universal Kriging has not until now been used for mapping of geological data in Croatia. However, it...
The interpolation f spatial data has been considered in many different forms. The various forms of k...
As being an essential tool for estimating spatial continuous data, interpolation methods have been a...
AbstractIn many fields, spatial interpolation is used to evaluate physical data in a continuous doma...
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites with...
<TT>The theory and practical application of techniques of statistical interpolation are studied in t...
<p><TT>The theory and practical application of techniques of statistical interpolation a...
In this paper the theoretical link between splines and kriging is presented. Spline interpolation is...
Ad hoc decisions during fieldwork reduce the accuracy and reliability of vegetation maps. A method i...
Spatial interpolation has been widely and commonly used in many studies to create surface data based...
Original scientific paper Despite the modern technological advancements, contemporary methods of dat...
A large collection of interpolation techniques is available for application in environmental researc...
ABSTRACT pendence between measurements at different locations. Methods currently in use include krig...
Geographical information systems could be improved by adding procedures for geostatistical spatial a...
This unit is the first of two that focuses on spatial interpolation—the procedure of estimating the ...
Universal Kriging has not until now been used for mapping of geological data in Croatia. However, it...
The interpolation f spatial data has been considered in many different forms. The various forms of k...
As being an essential tool for estimating spatial continuous data, interpolation methods have been a...
AbstractIn many fields, spatial interpolation is used to evaluate physical data in a continuous doma...
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites with...
<TT>The theory and practical application of techniques of statistical interpolation are studied in t...
<p><TT>The theory and practical application of techniques of statistical interpolation a...
In this paper the theoretical link between splines and kriging is presented. Spline interpolation is...
Ad hoc decisions during fieldwork reduce the accuracy and reliability of vegetation maps. A method i...
Spatial interpolation has been widely and commonly used in many studies to create surface data based...
Original scientific paper Despite the modern technological advancements, contemporary methods of dat...
A large collection of interpolation techniques is available for application in environmental researc...
ABSTRACT pendence between measurements at different locations. Methods currently in use include krig...
Geographical information systems could be improved by adding procedures for geostatistical spatial a...
This unit is the first of two that focuses on spatial interpolation—the procedure of estimating the ...
Universal Kriging has not until now been used for mapping of geological data in Croatia. However, it...