Using a spatial information system to manage real estate data has two advantages: one is the storage of valuable data using a real-world spatial index, and the other is the ability to analyze and visualize this data in a new way by collecting numerous information sources. In this research, using the Survey Analyst extension and the Cadastral Editor tool of ARC GIS software, a property registration map (cadastre) of an area of Kerman city has been prepared as an example. First, the required maps were collected, and then the geo-database of the study parcels of the studied area and their topology were designed. In the next step, the Cadastral Fabric Dataset Layer was created, which is the starting point for working with data related to parcels. By transferring parcels to Cadastral fabric, they can be edited or even drawn as a new parcel. In addition, by entering the descriptive information of each parcel, such as owner’s name, type of use, cadastral ID, number of floors, etc., the specifications of each plot of land (parcel) can be accessed. Then, the Automatic Parcels Division tool was implemented as a tool in GIS for automatic division of land plots. This tool has the ability to automatically separate parcels based on shape, size, and direction. This tool can perform divisions visually and statistically very similar to real-world divisions.

Environmental hazards, which encompass a wide range of natural hazards and human hazards, are among the barriers to development in different areas. Landslide is one of the hazards affecting different natural and anthropogenic factors and is one of the barriers to socio-economic and constructive development in each region. In this study, considering the different criteria, the potential of landslide occurrence in Tabriz city has been evaluated using FBWM model. The criteria used in this study are slope, curvature, elevation, fault, geology, vegetation, river and creek, roads, aspect, and land use. FBWM model is used to weight the criteria. This model is one of the newest multi-criteria decision-making models that weigh the criteria by comparing the criteria with each other and generating a nonlinear optimization problem. Finally, after weighting the criteria and creating standard maps, the standard maps and weightings were merged together and overlaid to produce the final map of landslide susceptible areas in Tabriz City. Based on the results, the north and northeast areas of Tabriz have high potential for landslides; these areas correspond to Valiasr town, Baghmishah, Einali Mountains, Pasdaran highway and the surrounding areas. On the other hand, the southern regions of Tabriz have a low potential for landslides. According to the results, 2.5% of Tabriz territory is located in very low potential areas for landslide occurrence, 15.16% is located in low potential areas, 36.04% is located in moderate potential areas, 40.97% is located in high potential areas, and 5.33% is located in very high potential areas for landslide occurrence. The results of this study have implications for organizations and organs such as Tabriz Municipality, Ministry of Roads and Urban Development, the Geological Survey and Mineral Explorations of Iran (GSI), and other organizations related to environmental risks.

One of the pillars of spatial planning is determining the role and function of regions based on their competitive advantages. By developing innovative infrastructure that supports production, regional competitiveness improves regional efficiency and forms a network of complementary and reciprocal relations between regions, which ultimately leads to the capital attraction, value creation, and integrated regional development. In this regard, the present study aims at identifying the creative regions of Iran and determining the competitive advantages of those regions. This study is explanatory applied in terms of purpose and descriptive-analytical in terms of methodology. Derived from the document analysis of secondary sources, quantitative data was used to analyze both creativity and competitiveness. The data used to identify creative regions included the number of scientific and research centers and companies, consulting engineers, the industries with high and medium technology, employees in the manufacturing sectors, and the university students of the provinces of Iran. Moreover, the number of employees in major activity groups was used to determine competitiveness. Factor analysis and cluster analysis were performed to identify creative regions, while correspondence analysis was performed to determine competitive advantages in SPSS software. The results show that the provinces of Tehran, East Azerbaijan, Isfahan, Khuzestan, Fars, Kerman, and Mazandaran have the knowledge infrastructure capacity required for creative regions. Isfahan’s share of construction is 11.1 percent, while Tehran’s share of information is 41.2 percent. The interpretation of angles smaller than 0.2 between correspondence analysis vectors reveals that Tehran and Isfahan provinces have competitive advantage in information and communication and manufacturing, respectively. It was also found that most regions of the Iran do not have a specialized role and the competitive advantages of the provinces are not supported by the knowledge infrastructure of the regions.

One of the principles of sustainable urban development is equal access of all citizens to the required services. Basically this matter comes true when different urban lands and resources, equally allocate to the spatial and social units of the city.Sincecommercial and service land uses are used by city dwellers daily, their locating and spatial distribution in cities is very important. Proper distribution of chain stores plays a significant role in reducing transpotation costs, quick supply of goods and services, suitable access to parking and other urban supplementary services. A chain store consists of several co-owned and centralized retail stores. The purpose of this study is improvement on spatial distribution of chain stores in Tabriz. To this end, first, the indicators of chain stores locating identified through available resources and documents and then through quantitative and spatial analysis methods using GIS capabilities, distribution of chain stores in urban areas of Tabriz was studied. Six criteria including population, type of communication, centrality, compatible uses, local equilibrium and radius of access have been used for a comprehensive analysis. After preparing the layers related to the above parameters using analytical tools in Arc Map software, they were integrated and the final layer was extracted. The results show that the distribution pattern of chain stores in Tabriz is random and it doesn't have a specific pattern. Also, the location criteria for the current stores have not been met in a desirable manner.

Regrading population growth and economic development of human societies, the disposal of municipal waste has become an environmental concern all around the world. Landfilling is a common way for the disposal of municipal wastes. Improper landfill, however, may cause a series of inverse impacts. Siting of landfills is only licensed under strict environmental considerations. This study is carried out to environmentally evaluate the active municipal landfills in Mazandaran province according to the national regulations of the Iranian Department of Environment and Waste Management organization. The Geospatial Information Systems (GIS) and Hierarchical analysis processes (AHP) have been used to spatial analysis and to weight effective criteria in this study. Restricted areas were scored beside permitted areas to classify and rate the active landfills in the state. Totally, 13 sites are used for landfilling in this province. By developing the spatial competency map, these sites are evaluated environmentally. The results show that generally the active landfills of the Mazandaran cities have very low suitability while most of them non-standard and placed in the buffers of restricted areas. As a result of this study, the municipal landfill of Fereydoonkenar found to be the worst site between these 13 landfills in the Mazandaran province.

Land use mapping and land use maps related to the prediction of spatial-temporal changes provide a major portion of the information required by urban planners and administrators to adopt correct measures and make principled decisions to achieve sustainable urban development. The purpose of this investigation was to examine land use and land cover changes in Yasuj city in the past and, consequently, to predict the spatial pattern of the land structure in the near future. In this study, the satellite object-based image analysis of the images taken by Landsat satellite in 1990, 2000, and 2018 was used to make a dynamic modeling of Yasuj lands use changes. Moreover, a combination of the Markov chain and automated cells were employed to predict land use changes. The results showed that during the period between 1991 and 2018, the area of pasturelands decreased by 7.18%, while the total area of residential areas increased by 2.02%. That is to say, the spread of Yasuj city has led to the increase in the residential and irrigated cultivation lands, while it has decreased pastures, forests, dryland cultivation areas, barren lands, and gardens. Furthermore, the development process of Yasuj city shows its tendency to physical-spatial expansion in all dimensions. Moreover, the land use map for the years 2030 and 2040 was predicted by the CA-Markov model. The results showed that during the period 2018-2040, pasturelands, dryland farming areas, and forests will decrease 1.08%, 1.03%, and 1.47%, respectively, residential areas will increase by 4.17%, and the waterbody will change a little. The results of the study show the high efficiency of the CA-Marcov model for monitoring the trend of changes, especially urban growth, for the coming years based on the pattern of changes in the past years.

One of the important aspects of development from the spatial perspective is the evaluation of the effective long-term processes on the institutional mechanisms of a land and the determination of share of the respective areas in this regard. For many years, economy has been hurriedly moving toward a knowledge-based stance, and the countries that have neglected this movement have been deprived of fundamental developments. In this applied study, which adopts an analytical approach and a quantitative view, the necessity of the proposition of a strategic attitude to the two-way relationship between higher education and the industry sector of Iran is addressed. To this end, first an overview of the previous studies and theoretical principles are made. Then, following the questions and hypotheses and determining the evaluation and analysis methods, the detailed information on over 11 variables (including panel data of 31 provinces of Iran from 2016 to 2019) are collected. These are then analyzed and tested using Excel, Eviews, and Arc GIS through spatial econometrics, generalized method of moments (GMM), weight matrix and geographic-spatial correlation (λ), and KP-HET diagnostic tests. According to the results, the spatial correlation between higher education and industry in Iran is highly significant, and the shock resulting from the industrial and educational development is completely mutual. That is to say, the shock inflicted upon a given province has spread to other provinces of Iran. The findings of this study confirm the effects of the emphasis on the centralization policy stereotype and the prescriptive – rather than land-use-based – roles given to certain parts of Iran. In fact, the very high spatial correlation demonstrates that the nine less-developed provinces of Iran have experienced trivial industrial growth due to a lack of higher education infrastructure. On the other hand, the results of this study shows how the market demand for labor of the university graduates is aligned with the functions of the knowledge-based industries of Iran.

Several benefits that humans get from ecosystems are called ecosystem services. Carbon sequestration as an eco- regulation service is declining, due to the transformation and destruction of the earth used to recompense the burgeoning human needs for development. In the present study, a pilot landscape of hyrcanian forests, protected area in Jahannama was selected. By examining the land use / cover changes during 2001 to 2018, future condition of the land will be set to determine the carbon storage and carbon sequestration model in 2036. The amount of carbon in the four carbon storage sources including biomass, underground biomass, soil and organic matter along with IPCC reports facilities, field studies and sampling was extracted. Deterioration trend in forest lands and grassland with remarkable role in carbon sequestration was sharpened. The reduction trend will be predicted to reach as much as 40 per cent which will be equivalent to 400859 tons per land. With the same rate in land deterioration, a considerable decrease in ecosystem storage and carbon sequestration’ potentiality will be expected present study indicated that the integration of the concept of the ecosystem services in land planning discourse and land use management via the provision of spatial maps of ecosystem services on a regional scale, along with the rational development of human use, ecological hazards should be minimized, as a result better decision will be made in planning the land. It is also suggested that to enhance the quality of Jahannama ecosystem services in development plans and review within the protected boundaries and the principled management of land use within the protective boundaries.

Spatial imbalances and spatial inequalities exist at different levels, and the realization of spatial and social justice at these levels depends on eliminating these imbalances through spatial planning. Service organizations to clients and, most importantly, the Welfare Organization, may have a lot of data and figures from their clients, but in many cases, existing data does not have a spatial dimension, and they are purely descriptive. The main objective of this research is to analyses spatially clients covered by welfare in the scale of Mashhad, in both regional and neighborhood level. The statistics required for this study are collected from the Department of Welfare of Khorasan Razavi and Mashhad. The methods used for spatial analysis are the standard deviation elliptic index, regional and neighborhood demographic density, kernel density, basic graphic statistical methods including the nearest neighbor's index, spatial autocorrelation measurement models such as general Moran I and LISA. The results of this research, presented in various maps and diagrams, show that the welfare beneficiaries in the city of Mashhad have not been distributed equally and different regions and neighborhoods have a significant difference, with the highest number of clients in regions 2, 3 and 4, the city of Mashhad where tjeay are located in the north and northeastern parts of the city. Also, at the neighborhood level, Shahid Ghorbani, Northern Tabarsi, Derevey and Bahman neighborhoods include the most welfare-clients population. In a general analysis based on the kernel density analysis, it can be stated that four condensed nuclei and a subunit formed in the city of Mashhad. Also, the results of Moran indicator and others indicate that the spatial distribution pattern of welfare clients in Mashhad is quite clustered and in particular parts of Mashhad, which mainly coincide with the informal settlements of the city and the eastern and northern parts of the city are distributed in cluster form.

Prioritizing sub-basins in terms of flooding potential has an important impact on catchment management. The purpose of prioritizing flood basins below basins is to provide a model to reduce flood hazards and evaluate the role of sub basins in peak discharge hydrograph of outflow from basin. In this study, flood potentials of sub-basins were determined based on 12 morphometric parameters and prioritization of Gadar sub-basins based on combined morphometric analysis method and statistical correlation. Initially, values ​​of 12 morphometric parameters and index (Cv) were calculated and sub-basins were zoned for flood potential. Then, the relationship between the parameters and the effect weight of each were analyzed using Kendall's blend correlation and weighted sum analysis (WSA). Finally, Sub-Basin Prioritization Index (SWPI) was calculated based on WLS method for each sub-basin. In order to validate the results, past destructive flood location data in the Gadar catchment were used. The results showed that in the flood potential method based on 12 morphometric parameters calculated under Sheikhan tea and Sufian tea basins with high flood potential, sub-spring source basin with medium potential and Godard tea basins and Nalivan creek basins have They have little potential for flooding. In fact, 33.83% of Gadar basin area has high risk potential, 14.28% has moderate risk potential and 51.88% has low risk potential. The results of morphometric parameters and statistical correlation showed that sub-basins of Sheikh tea and Sufian tea with 24.1 and 21.10 priority sub-basins were identified respectively. Comparison of the results of the two methods with the morphometric and geomorphologic conditions of the sub-basins shows that the results obtained by relying on 12 morphometric parameters are more in line with the geomorphic conditions of the basin.