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Stratified Sampling Frame in GIS: A Computer Code for Latin Hypercube Sampling (LHS) Technique in Environmental Modelling - Couverture souple

Ng'eno, Festus; C.T. Omuto, Dr.; E.K. Biamah, Prof.

 
9783639291537: Stratified Sampling Frame in GIS: A Computer Code for Latin Hypercube Sampling (LHS) Technique in Environmental Modelling
Couverture souple
ISBN 10 : 3639291530 ISBN 13 : 9783639291537
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Sampling, which is supposed to provide adequate and unbiased representation of a study interest, is often faced with challenges such as choice of the minimum cost-effective sampling size, accurate location of sampling sites and statistical justification of both location of the sites and accuracy of the sampling process. Although there are many statistical sampling protocols in the literature, they largely emphasize on accuracy tests for unbiased sampling size. There is still a lack of statistical routines for unbiased sample locations. This has led to a lot of errors in spatial modeling of many environmental processes LHS is a robust and efficient statistical framework that has been widely used to guide the determination of sample sizes given a set of constraints. When combined with GIS software such as ArcView, LHS can improve sample size selection and subsequent unbiased strategic location of the samples in the landscape. ArcView scripts were written in avenue language for various applications in environmental engineering. The scripts were then integrated into one unit to produce the LHS extension in ArcView GIS.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Sampling, which is supposed to provide adequate and unbiased representation of a study interest, is often faced with challenges such as choice of the minimum cost-effective sampling size, accurate location of sampling sites and statistical justification of both location of the sites and accuracy of the sampling process. Although there are many statistical sampling protocols in the literature, they largely emphasize on accuracy tests for unbiased sampling size. There is still a lack of statistical routines for unbiased sample locations. This has led to a lot of errors in spatial modeling of many environmental processes LHS is a robust and efficient statistical framework that has been widely used to guide the determination of sample sizes given a set of constraints. When combined with GIS software such as ArcView, LHS can improve sample size selection and subsequent unbiased strategic location of the samples in the landscape. ArcView scripts were written in avenue language for various applications in environmental engineering. The scripts were then integrated into one unit to produce the LHS extension in ArcView GIS.

Biographie de l'auteur

Festus K. Ng'eno holds an MSc. in Environmental and Water Systems Engineering from the University of Nairobi, Kenya. He also holds BSc. in the same field. He has provided professional expertise in the areas of Water Treatment and Environmental Impact Assessments in Kenya.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639291530
ISBN 13 
9783639291537
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
non disponible