Spatial Analysis And Reasoning By Geo-spatial Cognition Driving

Geographical spatial cognition is a series of mentality process that People gains geographical information by observation, perception to the geographical world and code, memory, the code remembering compromise on geographical feature. The cognition result forms the geographical space imago, the thinking in images provides a basis to geographical spatial. The knowledge from spatial cognition forms cognition map to our living environment that affect our decision-making and behavior. The geographical spatial reasoning is geographical spatial relation reasoning, is to understand geographical space from building the model and the logic infering to space knowledge. Since individual architectonic knowledge is different, cognition result vary with each individual. The geographical spatial reasoning can mine and express implicative information, to reduce this difference degree and raise cognition effect. So we can consider that the spatial cognition process can't be separated from spatial relation reasoning, spatial relation reasoning process can be short of space cognition neither. Geographical spatial cognition is geographical spatial reasoning basis, purpose being also purpose at the same time. It aims at spatial cognition to discusses spatial reasoning method can make the reasoning have teleonomy and pertinency at the very start. By cognized and abstracted, geographical space is formed a concept space in the human brain and computer geographical space (geographical feature data base).Spatial reasoning mines spatial knowledge from geo-database as cognitive target to improve cognition degree, structure the more accurate cognition map, assist decision-maker to make science-oriented policy and accomplish.This paper takes tuberculosis and failing to understand cause bone arthrosis pain in Chengdu City disease preventive process as the main object of study. It's foregone cognition result that the accumulated morbidity Statistic and the environment factor data that the earlier job gets. On this condition, this paper suggests new cognition needs, and structures the relational data. Basing cognition needs, it designs the reasoning method to operate on those data. Let data speak the secret on purpose driving. It applies exploratory spatial data analysis method such as spatial self-correlation and NNI to seek morbidity hot spot area , space distribution pattern and the correlativity between the environment and the disease; designs tuberculosis geo-cellular automata basal model to simulate the infects process. Analysis and reasoning result have renewed the space cognition to the disease that has provided the science basis for the science decision-making in the disease preventive.