The occurrence of skin cancer is related to many parameters which are spatially distributed. GIS can be used for analysing such spatial relationships. On the other hand, the occurrence of skin cancer is a probabilistic phenomenon. In other words, even in presence of all causing factors, skin cancer does not necessarily occur. In this research, a geostatistical model is developed to simulate the spatial distribution of skin cancer. First, the data framework is designed and proper data are gathered. Then, the data are processed in GIS and prepared to enter the model. Finally, by creation of the geostatistical model, the relations between the disease and its factors are studied. As a result, the effecting factors and their importance degrees are extracted. The developed model can be used both as simulator tool and as a decision support tool. In the other words, by changing the values of one or more parameters, the probability of occurring changes in the occurrence of disease can be studied. This can help the managers in evaluating the result of any possible course of action, when challenging the disease.
Massoomy, Z., Sadi Mesgari, M., & Karimi, M. (2011). Simulation of Skin Cancer Spatial Dispersion Using Geo-Statistical Analyses. Journal of Civil and Surveying Engineering, 44(5), 753-763.
MLA
Zohreh Massoomy; Mohammad Sadi Mesgari; Mohammad Karimi. "Simulation of Skin Cancer Spatial Dispersion Using Geo-Statistical Analyses", Journal of Civil and Surveying Engineering, 44, 5, 2011, 753-763.
HARVARD
Massoomy, Z., Sadi Mesgari, M., Karimi, M. (2011). 'Simulation of Skin Cancer Spatial Dispersion Using Geo-Statistical Analyses', Journal of Civil and Surveying Engineering, 44(5), pp. 753-763.
VANCOUVER
Massoomy, Z., Sadi Mesgari, M., Karimi, M. Simulation of Skin Cancer Spatial Dispersion Using Geo-Statistical Analyses. Journal of Civil and Surveying Engineering, 2011; 44(5): 753-763.
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