Mots-clés
Analyse de variance ; Analyse spatiale ; Chine ; Echantillonnage ; Espace ; Modélisation ; Nei Menggu ; Shandong ; Statistique ; Surface hétérogène ; Variation spatiale ; ZonageAnalysis of variance ; China ; Inner Mongolia ; Modelling ; Sampling ; Shandong ; Space ; Spatial analysis ; Spatial variation ; Statistics ; ZoningAnálisis de varianza ; Análisis espacial ; China ; Espacio ; Estadística ; Modelización ; Selección dela muestra ; Shandong ; Variación espacial ; ZonajeSandwich estimation for multi-unit reporting on a stratified heterogeneous surface
Auteur(s) et Affiliation(s)
WANG, J.-F.
LREIS, Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, Chine
HAINING, R.
Dept. of Geography, University of Cambridge, Cambridge, Royaume-Uni
LIU, T.-J.
LREIS, Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, Chine
LI, L.-F.
LREIS, Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, Chine
JIANG, C.-S.
LREIS, Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, Chine
Description :
This study proposes a computationally simple approach to multi-unit reporting by using analysis of variance and incorporating ‘twice-stratified’ statistics, called sandwich estimation. Through the examples of case study I (a study of land use in Shandong province where the attribute is spatially continuous) and case study II (a village-based study of per capita income levels in Hing’an, Inner Mongolia Autonomous Region), it shows that this method performs well against two other frequently used, probabilistic, model-based approaches to multi-unit reporting on stratified heterogeneous surfaces whilst having the advantage of computational simplicity.
Type de document :
Article de périodique
Source :
Environment and planning A, issn : 0308-518X, 2013, vol. 45, n°. 10, p. 2515-2534, nombre de pages : 20, Références bibliographiques : 2 p.
Date :
2013
Editeur :
Pays édition : Royaume-Uni, London, Pion
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)