Geostatistical Analysis of Remote Sensing Data by GIS
The interconnection between remote sensing techniques and GIS is currently an important application that is widely used in the development of modern statistical methods. Recent advances in these technologies have made it possible to detect changes in our surroundings and develop strategies based on these changes. Current study is a preliminary attempt to make use of geostatistical advantages in GIS applications in statistical analysis of population distribution data in residential neighborhoods of both sides in Mosul city based on satellite observations and available population data for 2007. The research methodology was used to extract the forecast results through using the ArcGIS9.3/ Geostatistical Analyst extension. The out results of the geo-statistical operations were calculated, including graphical congruence of semi-variograms, covariance, standard error and QQ curve required to find the prediction map of the data used. Ensure the statistical correlation between the population and the size of each neighborhood in the study area. Furthermore, the results showed that there is compatibility between the population distribution data adopted in the research with the areas in the residential neighborhoods of both sides in the city of Mosul except some areas.
Keyword - Semi-Variogram, GIS, QQ plot, Population, Cross Validation, Covariance