Northeastern China is one of the regions that would be mostly affected by the changing climates, and created the particular climate pattern and characteristics under climate changes. The pattern and characteristics of climate changes in Northeastern China was analyzed with the methods of the linear regression method, cumulative anomaly method, Mann鄄 Kendall test method and Morlet wavelets analysis method based on daily average air temperature and daily precipitation data observed at 96 meteorological stations covered the Northeastern China from 1961 to 2005. The linear regression method was used to study the variation trends of mean temperature and precipitation on annual鄄scale and seasonal鄄scale in recent 45 years. The cumulative anomaly method and Mann鄄Kendall test method were used to test trends and abrupt changes of annual mean temperature and precipitation. The Morlet wavelet analysis method was used to detect the change interval of annual mean temperature and precipitation. The linear trend rates for annual and seasonal mean temperature and annual and
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
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