Analysis of the spatio-temporal and semantic aspects of land-cover/use change dynamics 1991-2001 in Albania at national and district levels
In the turmoil of a rapidly changing economy the Albanian government needs accurate and timely information for management of their natural resources and formulation of land-use policies. The transformation of the forestry sector has required major changes in the legal, regulatory and management framework.
Evaluating Impacts of Urban Land Titling: Results and Implications: Preliminary Findings
This paper contains a preliminary summary of key issues and findings from a desk review of
the literature on land titling projects and programmes in urban and peri-urban areas of
developing countries. It draws on a large number of documents, not all of which have been
incorporated into the review at the time of writing. The present bibliography will be
expanded in the final text of the review which is to be completed by early December 2006.
Land-use/land-cover dynamics in Chiang Mai: Appraisal from remote sensing, GIS and modelling approaches
Remotely-sensed images and Geographical Information Systems (GIS) data were integrated into the SLEUTH cellular automata (CA) model to analyze land-use/land-cover dynamics in Chiang Mai city and its surrounds. The land-use and land-cover statistics, obtained from GIS data base and satellite images from 1952, 1977, 1989 and 2000 revealed rapid increased in urbanization during these periods. To understand the underlying causes of land-use and land-cover dynamics, remote sensing, GIS and modeling techniques were applied.
Urban Land and Housing Markets in the Punjab, Pakistan
This note provides a short overview of urban land and housing market performance in Punjab Province of Pakistan. It describes the characteristics of well-functioning urban land and housing markets and argues that, at present, the Punjab's urban land and housing markets are not performing well. The paper identifies a range of structural and institutional shortcomings that impede urban land market performance, and then concludes by offering recommendations for making land and housing markets functions better.
La transition urbaine : enjeux et opportunités
L'urbanisation et la transformation économique, c'est-àdire la croissance des secteurs non agricoles, industriels et tertiaires, offrent de nombreuses possibilités d'améliorer les conditions d'existence des pauvres. Le défi essentiel consiste à s'assurer que la population bénéficie plus d'un milieu offrant un cadre favorable à l'évolution des moyens de subsistance et des systèmes économiques. Mais trop souvent, on constate une incapacité à reconnaître et gérer la transition urbaine, ce qui se traduit par une urbanisation permanente de la pauvreté, de la vulnérabilité et de l'exclusion.
Les liens entre prospérité urbaine et rurale dans les pays à revenus faibles à moyens
Les villes tirent profit de la prospérité de l'agriculture
Ville - campagne : une relation en pleine mutation
La relation entre la ville et les zones rurales s'est radicalement transformée au cours des dernières années. Une délimitation franche n'est plus guère possible aujourd'hui et c'est le continuum des zones à vocation agricole, des banlieues, des zones d'habitat spontané et des centres urbains qui modèle le paysage. Mais les pays et la coopération au développement disposent-ils des instruments nécessaires pour promouvoir un développement dynamique et équilibré entre la ville et le milieu rural et pour entrouvrir des perspectives aux populations qui y vivent ?
Land-use/land-cover dynamics in Chiang Mai: Appraisal from remote sensing, GIS and modelling approaches
Remotely-sensed images and Geographical Information Systems (GIS) data were integrated into the SLEUTH cellular automata (CA) model to analyze land-use/land-cover dynamics in Chiang Mai city and its surrounds. The land-use and land-cover statistics, obtained from GIS data base and satellite images from 1952, 1977, 1989 and 2000 revealed rapid increased in urbanization during these periods. To understand the underlying causes of land-use and land-cover dynamics, remote sensing, GIS and modeling techniques were applied.