| abstract |
The present invention provides a kind of Average Price of City Residence predictor method based on nighttime light intensity, including carries out average room rate Data Collection, screening, obtains the Commercial Residential Building's average room rate of some historical years in target cities；Obtain remote sensing DMSP/OLS nighttime light datas to be pre-processed, obtain the region noctilucence remotely-sensed data of the corresponding historical years in target cities, statistics obtains average intensity of light；Carry out the average intensity of light and Commercial Residential Building's average room rate correlation analysis of target cities, the average intensity of light for carrying out target cities is established and contrasted with average room rate regression model, the Rationality Assessment of regression model is carried out, estimates the Average Price of City Residence in following time according to regression model when being verified.The method that one aspect of the present invention has incorporated spatial analysis in room rate statistics research, on the other hand, have also combined with the famous remote sensing image data of real-time, objectivity, there is great importance to urban construction and planning. |