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Author: Vincent B. Robinson
Publisher: DIANE Publishing
Keywords: geographic, information, systems, extensions, language, sql, database, towards
Number of Pages: 155
Published: 1993-04
ISBN-10: 078814765X
ISBN-13: 9780788147654

Chapters: on heterogeneous GIS, architectures, spatial data models, transactions & database languages; database language SQL: emerging features for GIS applications; proposed spatial data handling extensions to SQL; a GIS perspective on spatial & object oriented extensions to SQL; conceptual folding & unfolding of spatial data for spatial queries. Illustrated.

Author: Sas Institute
Publisher: SAS Publishing
Keywords: procedure, guide, data, spatial, gis, sas
Number of Pages: 220
Published: 2004-03
ISBN-10: 1590472241
ISBN-13: 9781590472248

This new edition brings you updated coverage on how to use SAS/GIS software. A SAS/GIS administrator must be able to locate and import spatial data in order to create maps that match end users' needs. This guide assists administrators with importing spatial data and creating SAS/GIS spatial databases. It also provides administrators and users with an understanding of the following: how SAS/GIS uses spatial data, where to obtain spatial data, how to import that data into SAS/GIS, and how to use the GIS procedure. This guide also assists users with viewing and analyzing data in the context of it

Author: Alessandra Petrucci
Publisher: Food & Agriculture Org.
Keywords: mapping, poverty, analysis, model, spatial, regression, application
Number of Pages: 68
Published: 2003
ISBN-10: 9251049734
ISBN-13: 9789251049730

Poverty mapping in developing countries is used to identify ways to improve living standards and, until now, methods have been generally based on econometric models which do not take into account the spatial dependence that may exist in human societies, with regard to income distribution. This report uses spatial regression techniques to model more accurately the distribution of poverty across regions in Ecuador.

Author: SAS Institute
Publisher: SAS Institute
Keywords: gis, software, version, sas, using, spatial, data, working
Number of Pages: 152
Published: 1999
ISBN-10: 1580255191
ISBN-13: 9781580255196

This task-oriented guide leads the SAS/GIS administrator through the steps for importing spatial data from various sources.

Author: Erwin Hepperle
Publisher: vdf Hochschulverlag AG
Keywords: aim, leeuw, paul, trappe, memoriam, responsibilities, development, strategies, patterns, risks, land
Number of Pages: 242
Published: 2009-02-12
ISBN-10: 3728132284
ISBN-13: 9783728132284

The European Faculty of Land Use and Development, founded in 1980 in Strasbourg, takes a multidisciplinary approach to sustainable land management, in particular in regard to urban development, spatial planning and environmental aspects.The contributions to this volume (German/English) discuss strategies of spatial planning. The experts come from disciplines as diverse as geodesy, jurisprudence, spatial planning, philosophy, economy and political sciences.

Author: Patricio Aroca
Publisher: World Bank Publications
Keywords: convergence, mexico, economic, liberalization, dimensions, trade, spatial
Number of Pages: 37
Published: 2005

This paper studies the spatial dimension of growth in Mexico over the past three decades. The literature on regional economic growth shows a decrease in regional dispersion from 1970 to 1985, and a sharp increase afterward coinciding with the trade liberalization of the Mexican economy. Using spatial econometric, tools the authors analyze how the process of convergence/divergence has mapped spatially and whether it makes sense to talk about spatial regions in Mexico. Although the rich North-poor South dichotomy has dominated this phenomenon, interesting patterns emerge. Namely the distribution

Author: David Kaimowitz
Publisher: CIFOR
Keywords: review, deforestation, tropical, models, economic
Number of Pages: 153
Published: 1998
ISBN-10: 979876417X
ISBN-13: 9789798764172

A boom in deforestation modelling. Deforestation. Types of economic deforestation models. Household and firm-level models. Analytical open economy models. Analytical subsistence and chayanovian models. Empirial and simulation models. Spatial simulation models. Spatial regression models. Non-spatial regional regression models. Analytical models. Computable general equilibrium. Trade and commodity models. Multi-country regression models. What drives deforestation?. Priority areas for future research.
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