Methods in land use statistics
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Methods in land use statistics the environmental aspect.

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Published by Hungarian Central Statistical Office in [Budapest] .
Written in English

Subjects:

Places:

  • Finland,
  • Hungary,
  • Sweden

Subjects:

  • Land use -- Environmental aspects -- Finland -- Statistical methods -- Congresses.,
  • Land use -- Environmental aspects -- Hungary -- Statistical methods -- Congresses.,
  • Land use -- Environmental aspects -- Sweden -- Statistical methods -- Congresses.

Book details:

Edition Notes

ContributionsHungary. Központi Statisztikai Hivatal., Finland. Tilastokeskus., Sweden. Statistiska centralbyrån.
Classifications
LC ClassificationsHD723.2 .M48 1987
The Physical Object
Pagination75 p. :
Number of Pages75
ID Numbers
Open LibraryOL2477708M
LC Control Number87210751

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Divided into three sections, this edition of Urban Land Use Planning deftly balances an authoritative, up-to-date discussion of current practices with a vision of what land use planning should become. It explores the societal context of land use planning and proposes a model for understanding and reconciling the divergent priorities among competing stakeholders; it explains how to build Cited by: Land use monitoring by remote sensing techniques has been developing rapidly, thanks to much easier access, often free of charge, to (very) high-resolution images, and to the development of specific Web applications for land use monitoring. However, access to these applications depends on the existence of a reliable internet connection, which is still lacking in some regions of the world. Land use analysis studies where and what types of human activities are taking place. Most human activities, such as employment, recreation, or residence, are linked to land. A land use study is one way of understanding those activities. A land use study may also focus on the land itself. This book points the environmental and water resources scientist to robust and nonparametric statistics, and to exploratory data analysis. We believe that the characteristics of environmental (and perhaps most other 'real') data drive analysis methods towards use of robust and nonparametric methods. Exercises are included at the end of chapters.

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