Annual variation ; China ; Geographical information system ; Hubei ; Hunan ; Precipitation ; Qinghai ; Regression analysis ; Seasonal variation ; Shaanxi ; Sichuan ; Spatial analysis ; Statistics ; Stream ; Water resources ; Yangzi Jiang
Using Geographic Information System (GIS) techniques and the newest seasonal and annual average precipitation data of 679 meteorological stations from 1971 to 2000, the multipleregressions equations of the precipitation and topographical variables
are established to extract the effect of topography on the annual and seasonal precipitation in the upper-middle reaches of the Yangtze River. Then, this paper uses a Successive Interpolation Approach (SIA), which combines GIS techniques with the multiple
regressions, to improve the accuracy of the spatial interpolation of annual and seasonal rainfall. Discussion of the results.
DISPARITES REGIONALES DANS LA CONSOMMATION DE L'ENERGIE AUX ETATS-UNIS. ANALYSE DE REGRESSIONMULTIPLE. LES IMPLANTATIONS INDUSTRIELLES (EXTRACTION DE MINERAIS ET INDUSTRIES TRANSFORMATRICES) SUFFISENT A EXPLIQUER CES DISPARITES.
Modelling the distribution of palsas in Finnish Lapland with logistic regression and GIS
Aerial photography ; Finland ; Geographical information system ; Modelling ; Palsa ; Periglacial features ; Permafrost ; Photointerpretation ; Regression analysis ; Spatial distribution
model, the distribution of palsas was modelled using geographic information system (GIS) techniques and multiple logistic regression. The relative roles of 8 environmental variables potentially affecting the distribution of the palsas were studied
Climatology ; Heat island ; Lisbon ; Local climate ; Multipleregression ; Portugal ; Temperature ; Urban climate
Climat local ; Climat urbain ; Climatologie ; Ilot de chaleur ; Lisboa ; Portugal ; Régression multiple ; Température
Pour estimer le champ de température nocturne à Lisbonne, un modèle de régression multiple est proposé, utilisant comme variables explicatives l'altitude, la distance au Tage, deux paramètres concernant l'occupation du sol et un autre représentant
Présentation d'un modèle de régression multiple expliquant le champ thermique nocturne à Lisbonne en situation anticyclonique (performance : 82 % de la variance expliquée). - (DBF)
Agricultural land use ; Arid area ; Baleares ; Mallorca ; Mediterranean area ; Multipleregression ; Runoff ; Sediment transport ; Soil erosion ; Spain ; Suspended load ; Turbidity ; Watershed
Baleares ; Bassin-versant ; Charge en suspension ; Domaine aride ; Domaine méditerranéen ; Ecoulement ; Erosion des sols ; Espagne ; Mallorca ; Régression multiple ; Transport sédimentaire ; Turbidité ; Utilisation agricole du sol
Aprovechamiento agrícola del suelo ; Campo mediterráneo ; Campo árido ; Carga en suspensión ; Cuenca hidrográfica ; Erosión de los suelos ; Escorrentía ; Regresión múltiple ; Transporte sedimentario ; Turbidez
on the island of Mallorca. This study uses continuous turbidity records to analyse suspended sediment transport regimes, construct and interpret multipleregression models of total suspended sediment concentration (SSC) and of SSC related to stormflow discharge
, and assess the sediment loads and yields of 3 hydrological years (2004-2005 to 2006-2007). Multipleregression models identify rainfall intensity as the most significant variable in sediment supply. However, the historical use of soil conservation practices
Business district ; Decision ; Firm ; Greece ; Land use ; Location ; Multipleregression ; Questionnaire ; Regional development ; Road network ; Transport network
Centre des affaires ; Décision ; Développement régional ; Entreprise ; Grèce ; Localisation ; Questionnaire ; Régression multiple ; Réseau de transports ; Réseau routier ; Utilisation du sol
of these enterprises to the economic development of the regions in which they are established is investigated using multipleregression analysis and with the completion of questionnaires by enterprises located near interregional areas of the Athens-Thessaloniki
Carrying capacity ; China ; Human impact ; Multipleregression ; River bed ; Sediment budget ; Stream ; Suspended load
Action anthropique ; Années 1956-1997 ; Bilan sédimentaire ; Capacité de charge ; Changement environnemental ; Charge en suspension ; Chine ; Cours d'eau ; Lit fluvial ; Régression multiple ; Yangtze
the period 1956-1997 in response to the variation in sediment load and flow inputs. Multipleregression equations have been established to assess the contributions of influencing factors to the variation in sediment deposition amount in the studied river
of filling missing data in a suspended sediment flux time series and predicting the influence of climatic change on suspended sediment flux. The advantage of ANN were also evaluated by comparing its performance with that of multiple linear regression (MLR
Belgium ; Cultivated land ; Model ; Multipleregression ; Sediment budget ; Soil erosion ; Temperate zone ; Watershed
Bassin-versant ; Belgique ; Bilan sédimentaire ; Erosion des sols ; Modèle ; Régression multiple ; Sol cultivé ; Zone tempérée
variation in observed sediment yield. A multipleregression model including 3 morphological catchment properties is a valuable tool to predict total sediment yield from catchments in central Belgium. This model has an efficiency of 0.81. The importance
All-possible subsets regression ; Analyse multivariée ; Arctique ; Canada ; Ennadai Lake ; Fonction de transfert pollen-climat ; Géographie physique ; Holocène ; Long Lake ; Méthodologie ; Palynologie ; Paléoclimatologie ; Quaternaire zones froides
; Régression multiple ; Zone subarctique
is developed with all-possible subsets regression, with due regard to the assumptions of the general linear model. Linears relationships between taxa abundances and summer temperature are specified, and multivariate outliers are removed.
A modification is made to multipleregression analysis based on the land-rent concept so that the modified hedonic house price function can be determined. The paper develops a stochastic approach which is able to correct autocorrelation bias
regressions, making it an appealing alternative to spatial problems.
Climatic warming ; Forecast ; Global change ; Honshu ; Japan ; Model ; Regional climate ; Regression analysis ; Statistics ; Summer ; Temperature
with the principal components of large-scale climate variables over the region using stepwise multipleregression analysis. The statistical model was evaluated by the cross validation procedure. It was confirmed that the method is applicable to the estimation of high
An introduction to the use of simultaneous-equation regression analysis in geography.
L'analyse de régression à équations simultanées est l'analyse de régression de variables dépendantes et à effet de causalité réciproque, alors que la régression multiple concerne des variables indépendantes à effet de causalité unique. L'explication