Journal ArticleDOI
Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall
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In this article, three multivariate geostatistical interpolation algorithms for incorporating a digital elevation model into the spatial prediction of rainfall are presented, i.e., simple kriging with varying local means, krigging with an external drift, and colocated cokriging.About:
This article is published in Journal of Hydrology.The article was published on 2000-02-21. It has received 1419 citations till now. The article focuses on the topics: Spatial dependence & Multivariate interpolation.read more
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A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006
TL;DR: In this paper, the authors presented a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface temperature for the period 1950-2006.
Journal ArticleDOI
An adaptive inverse-distance weighting spatial interpolation technique
George Y. Lu,David Wong +1 more
TL;DR: Adaptive IDW performs better than the constant parameter method in most cases, and better than ordinary kriging in one of the authors' empirical studies when the spatial structure in the data could not be modeled effectively by typical variogram functions.
Journal ArticleDOI
A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors
Jin Li,Andrew D. Heap +1 more
TL;DR: Comparison studies in environmental sciences are used to assess the performance and to quantify the impacts of data properties on the performance of spatial interpolation methods, finding data variation is a dominant impact factor and has significant effects on theperformance of the methods.
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The generation of monthly gridded datasets for a range of climatic variables over the UK
Matthew Perry,Dan Hollis +1 more
TL;DR: In this article, the analysis process uses geographical information system capabilities to combine multiple regression with inverse-distance-weighted interpolation and local variations are then incorporated through the spatial interpolation of regression residuals.
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Review: Spatial interpolation methods applied in the environmental sciences: A review
Jin Li,Andrew D. Heap +1 more
TL;DR: In this paper, the authors provide guidelines and suggestions regarding application of spatial interpolation methods to environmental data by comparing the features of the commonly applied methods which fall into three categories, namely: non-geostatistical interpolation, geostatistic interpolation and combined methods.
References
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Journal ArticleDOI
An Introduction to Applied Geostatistics
TL;DR: In this paper, an Introduction to Applied Geostatistics is presented, with a focus on the application of applied geometrics in the area of geostatistic applications.
Book
An Introduction to Applied Geostatistics
TL;DR: In this paper, Krigeage and continuite spatiale were used for interpolation of a variogramme with anisotropic interpolation reference record created on 2005-06-20, modified on 2011-09-01.
Book
GSLIB: Geostatistical Software Library and User's Guide
TL;DR: In this paper, the authors present a set of programs that summarize data with histograms and other graphics, calculate measures of spatial continuity, provide smooth least-squares-type maps, and perform stochastic spatial simulation.
Book
Geostatistics for natural resources evaluation
TL;DR: In this article, an advanced-level introduction to geostatistics and Geostatistical methodology is provided, including tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation.
Book
Geostatistics: Modeling Spatial Uncertainty
Jean-Paul Chilès,Pierre Delfiner +1 more
TL;DR: In this article, the Intrinsic Model of Order (IMO) is used for structural analysis and nonlinear methods are used for nonlinear models of scale effects and inverse problems.