Although Iran has a strategic position in the Middle East and there are threats of neighboring and non-neighboring countries, projects and economic infrastructures have been established without proper defensive considerations and are targets for enemy threats and other offensive actions. The present study is an applied and developmental research that aims to study and scrutinize the vulnerability of infrastructures in Ardabil province from the perspective of passive defense. Moreover, analytic network process (ANP) approach is used in GIS environment with elements of physical and biological environment, accessibility, and infrastructures in order to carry out the research. The results of spatial pattern analysis and vulnerability zoning show that the spatial distribution of infrastructure in Ardabil province is cluster type (non-dispersive) and in terms of vulnerability, 7% of Ardabil province is located in highly vulnerable areas which are themselves among the most densely populated places with high amounts of established infrastructures. This is due to poor physical indicators and lack of sufficient managerial, industrial, and military institutions in these areas of the Ardabil province.

Studies on spatial planning in Iranian history has experienced more than seven decades of programming, But has never been implemented and a firm determination for its operation has not been seen so far. This is an applied and developmental research, descriptive and analytical in method. research and data collection has been made through questionnaires and Delphi techniques. In this study, using cross-impact analysis and cross-impact matrix software to perform complex calculations were performed MICMAC. The results showed ,effective factors on implementation of spatial planning; Tehran province is regional political polarization, Tehran as a development pole in this province and being placed on the west to east and north to south corridors and the necessity of the province interaction with neighbor regions was determined and suitable solutions to overcome barriers in the way of implementing spatial planning in Tehran province, have been suggested in this study.

Land cover always has changed due to human activities and natural phenomena,. Intensive and variety of these changes in urban environments are more than others. The objective of this research was assessment of the temporal and spatial changes for two coastal cities (Chalus and Babolsar) and two non-coastal cities (Ghaemshahr and Amol) in Mazandaran province with the view to compactness, complexity and centrality of urban form using landscape metrics. The research methodology was a quantify method and the land use maps were produced in three classes (urban, cropland and water) by maximum likelihood classificationusing Landsat satellite images. For landscape change analysis 12 landscape metrics were used in the class and landscape level. The results show that the NP for cropland in four cities increased, which represent fragmentation, loss of continuity and interference in cropland. Additionally, increasing trend of number of patches was observed in two cities Ghaemshahr and Babolsar in landscape level that showed fragmented structure in these cities. Also, ENN-MN decreased only for Ghaemshahr that means high centralization was occurred in this city. Generally, the significant difference was not observed between coastal and non-coastal cities with the view to compactness and complexity.

Landscape fragmentation, due to the roads construction, urban infrastructure development and other land uses, seems to be in result of the loss of habitat in protected areas. Indeed, Landscape fragmentation causes a huge negative impact on wildlife, including important species. In result, the monitoring and management of protected areas, through the landscape ecology and quantification of fragmentation, will be so applicable. This research aims to quantify the landscape fragmentation in Kolah Ghazy national Park and wildlife refuge. To achieve this purpose, RS and GIS techniques were used to extract land uses in studied area and then landscape fragmentation was quantified using landscape metrics (CA, CAP, TE, MSI, NP, MPS and MNN) in class level. The results cleared that rich rangeland patches have been more integrated, but the incompatible land uses, such as mining, agriculture and urban infrastructure development make these patches to be more far away from each other, so, reduction of incompatible land uses is recommended in the region.

Planners always face a set of spatial conflicts in allocation of land to a particular activity; this implies that a land may be used for two or more parallel applications. Currently in Town and Country Planning programs recognizing priorities in the land allocation process are modeled independently without considering the role of other land uses, and as potential land-use conflicts are an issue that has been ignored. The purpose of this study is to introduce and use the LUCIS model to identify land allocation priorities along with conflict modeling. To implement the model, with using the Python programming language an ArcGIS toolbox has been developed. Due to the developed system, defining inputs, weights and stakeholder priorities, land use modeling will be done automatically. Finally, priorities and also major conflicts in the study area have been identified. Results of this study show that, in addition to having the capabilities of other models in land suitability analysis, LUCIS can properly model existing conflicts. Therefore, it is recommended that a separate part under title "Identification of land suitability conflicts"  be specified in the descriptive setting of Town and Country Planning programs.