مجله کاربرد سیستم اطلاعات جغرافیایی و سنجش از دور در برنامه ریزی
سال هشتم شماره 2 (پیاپی 28، تابستان 1396)

The aim of this research is to evaluate the efficiency of a statistical model a logistic regression and a probabilistic model- a frequency ratio - in landslide hazard mapping in Chashmidar, Kurdistan. Firstly with study of 60 landslide point cells and 60no-landslide point cells in the study area using field works, local interviews and the literature review, 17 effective factors including the following; slope gradient, slope aspect, slope curvature, plan curvature, profile curvature, elevation above the sea, distance from road, distance from faults, distance from stream, fault density, drainage density, lithology, stream power index, Sediment transport capacity index, wetness index, precipitation and land use are recognized on occurring landslides. Logistic regression was conducted by SPSS 17. Result showed that in the landslide susceptibility map by logistic regression the percentage of areas of very low zone, low, moderate, high and very high zone are 44.57%, 11.48%, 12.51%, 14.38% respectively. The landslide susceptibility map by frequency ratio ,the percentage of areas of very low zone, low, moderate , high and very high zone are 37.15%, 33.40%, 17.55%, 9.11% and 3% respectively. Results also in comparing tow methods showed that the performance of both models are reasonably well for landslide susceptibility maps; however, the logistic regression model had an accuracy of 82.2 percent of the area under the curve (AUC) in ROC in comparing with the accuracy of 80 percent by the probabilistic frequency ratio. Therefore, the logistic regression model can be used to produce landslide susceptibility map in the study area.

Space organization or homogeneous development of space organizing is a necessity concern of politicians and planners in the various national, regional and trans-regional scales. Space planning or spatial arrangement is a trend for efficiency making, logical arranging, balance maintaining, equilibrium, and harmony between population and economic infrastructures established in geographic space. Also, it is intended to prevent possible imbalances and destructive-negative reflections on the land space. In this study, we analyze some development indicators in the 4 boundaries counties of Fars Province corresponding to social-economic, education-culture, health care and infrastructural services with 13 sub-indicators. The prevailing approach of this research, despite the applicability, takes a descriptive and analytical nature. In order to guarantee the credibility and precision, all calculations perform under the statistical analysis methods such as Multi-Criteria Decision Making (MCDM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) followed by Entropy Shannon to calculate of the weight of each index. The results of this research indicated that among the border Counties of Fars Province, the county of Shiraz and Neyriz ranked first whereas we observed suitable qualifications in development index.

a few thousand year old civilization in the drawer over the years, the special conditions for various disciplines. One of the driving factors in tourist flow of archaeology and historical monuments. In addition to the country's natural conditions, especially in the past, including the nature of the beautiful, caves and warm waters and … all of factors are absorbing tourists. one of the cities that could become a tourist spot special spa town in the province of qazvin. The survey of descriptive analysis - and collect data through library checks and field studies. Recognising the potential and capabilities and restrictions and glitches tourism in the city with a spa, data analysis of the SWOT model is used. Findings indicate that spa town, despite having good capacities, tourism infrastructure facilities, with a shortage of their stay, managerial issues and propaganda. On the other hand, despite the fields of employment, income, and public and private investment strategies of developing tourism.