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geopro:raian:bibliografia:neighborhoods [2010/03/08 19:26] raiangeopro:raian:bibliografia:neighborhoods [2011/08/29 22:19] (atual) raian
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         - From all possible distance functions, six different general shapes can be deduced, identifying how an externality effect can change over distance. These functions are shown bellow.          - From all possible distance functions, six different general shapes can be deduced, identifying how an externality effect can change over distance. These functions are shown bellow. 
         - It is not necessary to know the value at every distance to determine the shape of a neighborhood rule. For each effect, a maximum of five distance points is needed closely match the valid effect.          - It is not necessary to know the value at every distance to determine the shape of a neighborhood rule. For each effect, a maximum of five distance points is needed closely match the valid effect. 
-        * {{:geopro:raian:bibliografia:distance_functions.png?500}}+            * {{:geopro:raian:bibliografia:distance_functions.png?500}}
       * The authors made interviews with experts in different areas of study of urban relations to reach neighborhood rules and distance functions. These rules are more complex than general linear distance functions, and consequently more realistic.        * The authors made interviews with experts in different areas of study of urban relations to reach neighborhood rules and distance functions. These rules are more complex than general linear distance functions, and consequently more realistic. 
       * The composition and pattens described by spatial metrics can be of great importance in economic geography. Spatial metrics are more capable of quantifying different dimensions of the urban morphological structure and "spatial signatures" of land-uses than the more fragmented pattern measures used before. Structure refers to the distribution of land-uses in relation to their size, shapes, numbers, kinds and configurations of the urban system.        * The composition and pattens described by spatial metrics can be of great importance in economic geography. Spatial metrics are more capable of quantifying different dimensions of the urban morphological structure and "spatial signatures" of land-uses than the more fragmented pattern measures used before. Structure refers to the distribution of land-uses in relation to their size, shapes, numbers, kinds and configurations of the urban system. 
geopro/raian/bibliografia/neighborhoods.1268076410.txt.gz · Última modificação: 2010/03/08 19:26 por raian