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Titolo:
Exploring the spatial relationship between census and land-cover data
Autore:
Radeloff, VC; Hagen, AE; Voss, PR; Field, DR; Mladenoff, DJ;
Indirizzi:
Univ Wisconsin, Dept Forest Ecol & Management, Madison, WI 53706 USA Univ Wisconsin Madison WI USA 53706 l & Management, Madison, WI 53706 USA Univ Wisconsin, Dept Rural Sociol, Madison, WI 53706 USA Univ Wisconsin Madison WI USA 53706 t Rural Sociol, Madison, WI 53706 USA
Titolo Testata:
SOCIETY & NATURAL RESOURCES
fascicolo: 6, volume: 13, anno: 2000,
pagine: 599 - 609
SICI:
0894-1920(200009)13:6<599:ETSRBC>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
CLASSIFICATION; MULTIPLE; IMAGERY; STATES; AREA;
Keywords:
census data; GIS; housing density; landscape ecology; land-cover classification; Pine Barrens; remote sensing; Wisconsin;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Radeloff, VC Univ Wisconsin, Dept Forest Ecol & Management, 1630 Linden Dr, Madison, WI53706 USA Univ Wisconsin 1630 Linden Dr Madison WI USA 53706 I53706 USA
Citazione:
V.C. Radeloff et al., "Exploring the spatial relationship between census and land-cover data", SOC NATUR R, 13(6), 2000, pp. 599-609

Abstract

Landscapes are shaped by complex relationships between human population, social structure, and environmental conditions. Traditionally, these factorshave been studied separately within their respective disciplines. Few studies explore the relationship between indicators of social structure and ecological factors. Our objective was to examine the relationship between housing density, as recorded in the U.S. Census data, and a satellite land-cover classification in the northwest Wisconsin Pine Barrens region. We used a geographical information system (GIS) to integrate these two data sets. Ourresults revealed strong patterns. For example, housing densities were higher where water is more abundant, a possible case where land cover influences housing density. In other cases, housing density appears to influence land cover. These complex relationships are discussed. Our approach representsan initial methodology to integrate social and ecological data, a task needed to improve our understanding of rural societies and to facilitate broad-scale ecosystem management.

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Documento generato il 12/07/20 alle ore 09:43:20