Autosoft Journal

Online Manuscript Access


Analysis on the Relationship and its Dynamics Between Rural Settlements and Linear Features Using Gis and Rs


Authors



Abstract

The relationship between spatial patterns of rural settlements and environment and its dynamics were analyzed in Daxing District, Beijing in the recent 20 years using landsat TM images. Results showed that too much of land in total was used for the rural settlements in the study area with a rapid growth, and it had a great potential for land intensive utilization; the rural settlements were rather small, with weak aggregation and high random expanse in spatial distribution; highways, rivers and channels were important factors that affected the spatial distribution of rural settlements, while railways and expressways exhibited little influence. Accordingly, to guarantee the unified and balanced development of rural and urban construction, planning for villages and towns are required, and considering the convenience of road transportation and water use is an important principle for the selection of central towns and the systematic planning of rural settlements; on the other hand, areas along the highways, rivers and channels become the hotspot of land use change, and it ought to take these areas as the key areas for monitoring rural land use change.


Keywords


Pages

Total Pages: 10
Pages: 1053-1062

DOI
10.1080/10798587.2008.10643310


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways


Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Published

Volume: 18
Issue: 8
Year: 2012

Cite this document


References

K. McGarigal and B. Marks. “FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. Reference Manual”, Oregon: Forest Science Department, Oregon State University, 1994.

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


CONTACT INFORMATION


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048
EMAIL: tsiepress@gmail.com
WEB: http://www.wacong.org/tsi/