Evolution law of architectural landscape during the urban renewal process in Tiexi District

Abstract

To explore the variation law of architectural landscape is important for forecasting the variation in urban landscape in the process of urban renewal. It was mainly studied the evolution law of architectural landscape and spatial distribution features of building transformation in the Tiexi District, Shenyang, China, during the urban renewal process in this paper. In this article, the three鄄dimensional information of buildings in the Tiexi District was extracted from aerial photos (1997) and QuickBird imageries (2002, 2005 and 2008) based on ArcGIS, Erdas and Barista software. We divided the buildings into five types as Residential building, Industrial building, Commercial building, Educational and Medical building, and Others according to the usage properties, and six types as Bungalow, Low鄄rise building, Muti鄄story building, Mid鄄tall story building, High鄄rise building, and Super鄄high building according to the height, combining our research purpose with the principle of landscape classification. The conversion鄄in contribution rate, conversion鄄out contribution rate and retention ratio were used as the indexes of the transfer matrix method analysis to detect the change characteristics of architectural landscape types and their position and function. We divided the research area into 457 blocks of 0. 3km 伊 0郾 3km, and caculated the transformation area ratio of buildings in each block. Both the global spatial autocorrelation Moran忆s I indicating overall clustering that exists in a dataset and the local spatial autocorrelation (LISA) cluster map

Variation Characteristics of Building Height Types in the Vertical Urban Expansion Process

“…To analyze the spatio-temporal characteristics of building height types in 3D space from 2003 to 2012. We calculated area proportion (AP i ) [37], conversion-in contribution rate (TR i ) and conversion-out contribution rate (TC i ) [40] to reflect the composition and change characteristics of building height types using statistical and spatial overlay analysis of ArcGIS. The AP i , TR i and TC i are obtained through Equation ( 1) to Equation (3):…”