Geographical information science : geostatistics and uncertainty
In this brief article, the research currently being conducted by the GIS community involving geostatistics and error modelling is reviewed. First, a basic outline of a geostatistical approach to the assessment of uncertainty is given. The review
which then follows is broader and includes research in geostatistics in general, and in error propagation modelling.
The powerful sinergy between geostatistics and remote sensing went unrealized until the 1980s. Today geostatistics are used to explore and describe spatial variation in remotely sensed and ground data; to design optimum sampling schemes for image
that are common to them all. Conclusion with a discussion of conditional simulation as a novel geostatistical technique for use in remote sensing.
Geostatistical analysis facilitates the generation of ensembles of rainfall fields that are consistent with a given set of observations, allowing for a more realistic exploration of errors and their propagation in downstream models, such as those
used for agricultural or hydrological forecasting. This article provides a review of geostatistical methods used for kriging, exemplified were appropriate by daily rain gauge data from Ethiopia.
Geostatistical simulation for the assessment of regional soil pollution
Geostatistical methods in geography part II : applications in physical geography. Special issue
Belgium ; Cartography ; Flanders ; Geostatistics ; Heavy metals ; Pollution ; Regional analysis ; Simulation ; Soil ; Spatial distribution ; Stochastic model
This study focuses on the application of geostatistical simulation for the regional evaluation of topsoil concentrations of Cu and Cd over the entire area of Flanders. The objectives are : 1) to map geostatistically the regional patterns of topsoil
Geostatistiche Vorhersage mit Kleinrechnern und ihre Anwendung zur Profilkonstruktion (Computer aided geostatistical forecast and application in profile constructions)
The paper demonstrates the processes of a forecast method which is well known in geostatistics as kriging . The proposed method is based on the Markov process and it is recommended for computerised deposit modelling because of numeral advantages
Using elevation to aid the geostatistical mapping of rainfall erosivity
In this paper, 3 geostatistical algorithms (simple kriging with varying local means, kriging with an external drift, colocated ordinary cokriging) are introduced to incorporate an exhaustive secondary information (digital elevation model
) into the spatial prediction of rainfall erosivity. The techniques are illustrated using annual and monthly rainfall data from the Algarve region in Portugal. Cross validation is used to compare the prediction performances of the 3 geostatistical interpolation
A geostatistical linear regression model for small area data
Aggregation ; Geostatistics ; Linear regression ; Model ; Simulation ; Spatial autocorrelation
The spatial autocorrelation is modeled using a geostatistical model specified at the scale of the individual. The AA. establish that this approach also is a valid autoregressive model. It is an alternative to the conventional lattice-type approaches
The primary aim of this paper is to highlight the importance of geostatistical methods in plant ecology and biogeography and to review related issues, concepts and methods. A further aim is to assess the approaches available to assist with spatial
Geostatistical analysis in weathering studies : case study for Stanton Moor building sandstone
Geostatistics ; Grain size distribution ; Permeability ; Sandstone ; Simulation ; Spatial variation ; United States of America ; Weathering
In this study, a range of geostatistical techniques for spatial prediction and spatial simulation have been deployed to explore the spatial variability of permeability characteristics. The effect of both small-scale textural controls (grain size
A geostatistical investigation into changing permeability of sandstones during weathering simulations
Geostatistical methods in geography part II : applications in physical geography. Special issue
Erosion rate ; Geostatistics ; Geotechnics ; Mid-latitude climate ; Model ; Northern Ireland ; Permeability ; Salt ; Sandstone ; Simulation ; United Kingdom ; Weathering
The aim of this research is to improve the understanding of the decay dynamics of masonry materials and sandstone by weathering and to provide a quantitative and predictive basis for conceptual models of sandstone decay using geostatistics. Data
of 1400 km2 in southern Italy. Besides linear regression of precipitation against elevation, 2 methods of interpolation are applied : inverse squared distance and ordinary cokriging. The results seem to favour the multivariate geostatistical method