The Study on Spatial Statistics and Its Application in the Spatial Distribution and Evolvement Rule of Radio and Tv Industry

Because of its researching object always be provided with spatial attribute, spatial statistics differs from traditional statistics. In this paper, besides of the definition of Spatial Statistics, the difference between them is discussed. Compared to statistics, spatial statistics is a very young one. Five models are introduced in this paper. They are Spatial Autoregressive Model, Spatial Aotucorrelated Model, The mixed Autoregressive-regressive Model, Spatial autoregressive error mode and The General Spatial Mode. On the application aspect, by Using the Spatial Autoregressive Model, SAR (the spatial autocorrelative mode) and SAC (the general spatial model)., from the Moran’s I statistics, the marginal probability, the spatial autocorrelation parameter and R-square values we could gain the spatial dependence and evolvement rule of radio and TV industry in China. And the conclusion is that they are fitting the data famously, and the quantities could be explained fully. Foundation Item: Supported By Open Research Fund Program of the Geomatics and Applications Laboratory, Liaoning Technical University; The High tech Research and Development (863) Program, No.2001AA135080 and The National Natural Science Foundation of China, No. 40371047. Biography: Dong Chun (1971), women, Assistant Professor, PH.D student of population, resource and environment economics. Whose research interests are in the fields of Spatial Data Mining, Spatial Statistics and Spatial Economics. [email protected]