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.

The increasing population growth along with human activities has led to the booming of waste production.  The selection of inappropriate landfill sites contributes to the increased potential of underground pollutions. The purpose of this study was to zone the underground water vulnerabilities of Karun County in Khuzestan Province to select the optimal landfill site, so that a site with the least vulnerability of aquifer would be selected for waste disposal. Two models were used to zone the aquifer pollution potential, namely GODS and SINTACS. After preparing the vulnerability maps of the two models in GIS software, the appropriateness levels of the sites for waste disposal were prioritized. The results of SINTACS model demonstrated the following vulnerability statistics: 455.22 hectares have no vulnerability potential, 780.84 hectares very low vulnerability, 3281.31 hectares low vulnerability, 12582.4 hectares low to medium vulnerability, 11169.9 hectares medium to high vulnerability, 9449.6 hecaters high vulnerability, 5844.15 hectares very high vulnerability, and 495.72 hectares totally at vulnerability risk. Moreover, in GODS model, nearly 215.576 hectares have negligible vulnerability, 560.544 hectares low vulnerability, 5169.08 hectares medium vulnerability, 37471.9 hectares high vulnerability, and 641.9 hectares very high vulnerability. In both models, the least vulnerable zones comprise a small part of the area (1.03 percent in SINTACS and 0.49 percent in GODS model). This level can be selected as the optimal landfill site (rank 1), while other zones are ranked lower due to their higher aquifer vulnerability levels.

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.

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.

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.

The ecologic capability evaluation determines which human activities can be performed on which area of land and conversely, which activities are impossible, economically unviable, or detrimental to environmental sustainability. This study set out to evaluate the land ecologic capability in Golestan province of Iran to develop agriculture (cultivating wheat) through land use planning and to investigate the factors effective on the agriculture ecologic capability. The study was exploratory in terms of method and applied library research method for data collection purposes. The identified factors include climate, precipitation, temperature, evaporation, topography (altitude), slope, slope direction, land use, water resources, flood zones, land types, erosion, and soil. Then, the optimal location of land for wheat cultivation was done in four stages using ARC GIS software and its tests in order to zone the lands appropriate for what cultivation. To this end, the raw data of the intended layers was extracted and examined, and the areas appropriate for cultivation were determined and classified. The appropriate values were assigned to the aforementioned layers so as to generate the final layer map to zone the lands appropriate for wheat cultivation. Finally, via overlaying the wheat-cultivated lands on the intended layers, the ecologic capability map of the area was made. These were then classified into three categories, namely lands with appropriate and high capability (about 13%), lands with medium capability (over 80%), and lands with low or no capability (about 5%). The intermediate territory of the province has the most fertile lands with semi-humid, temperate Mediterranean climate (Alborz highland plains). As a result, the best cultivation areas of this province are located in its intermediary and southern parts that have deep, high quality agricultural soil and adequate rainfall.

Equitable distribution of services at the regional scale and achieving a balanced spatial structure in the region are among the most important goals of sustainable regional planning, especially in developing countries such as Iran. In this regard, one of the most important strategies and policies in regional spatial planning is the decentralization of development. The purpose of this study is to identify the most important urban areas of Fars province in order to determine the priorities of development and decentralization of the unipolar development of the province. To this end, the regional network modelling based on graph theory and the concepts of social network analysis are used to conduct the spatial analysis of Fars province. The data used in this study includes  the Fars province road network extracted from the OSM open source system, as well as the spatial information of the urban and rural areas of Fars province extracted from the website of the Statistics Center of Iran. Regarding research methods, Pandas Library and NetworkX Library were used in the Python programming platform to form the network graph and analyze the centrality indicators, while ARC GIS software was for final processing and visualization of data and information. According to thenetwork centrality indices and the location of the province cities, notwithstanding Shiraz as the main hub of development in the province, Zarghan, Sadra, Kavar, Lepui, Khane Zenian and Noorabad are the main development priorities. In addition, the Shiraz-Marvdasht and Shiraz-Khaneh Zenian roads were determined to be the most important transportation paths and communication corridors. The results and findings of this study showed that network-based modeling and the use of graph-based analytics (in particular, social network analysis techniques) can be useful and effective as new analytical methods in regional studies and planning.

Due to the growing importance of environmental problems and increasing human interventions in natural environments, it is necessary to use spatial planning and sustainable development approach in order to conserve natural resources and move along with the land and its productive capacity. The rough topography of Lorestan Province has caused a large part of its lands to be recognized as national lands due to their steep slope and the necessity of preventing the destruction of natural resources. However, there some activities such as agriculture, industry, tourism, etc., which are possible if certain conditions and criteria are met. Regarding the dependence of the region's economy on agriculture and the increase in unemployment, these lands can be used to develop agricultural activities based on their environmental potentials using spatial planning approach. The purpose of this applied study was to determine the potential of national lands of Chalancholan basin in the east of Lorestan Province for the development of agricultural activities. We used tools and data such as topographic maps, geological maps, climate data, pedology, hydrology, and Arc GIS software to determine national lands with agricultural potential based on the guidelines and standards of the Forests, Range, and Watershed Management Organization of Iran, taking into account the local conditions. To this end, first, the land units (geomorphology) were determined and then, the allowable land uses were specified in each of the homogeneous environmental unit. Next, different variables were used to assess the suitability of national lands for agricultural land uses. The study results showed that national lands under study are more suitable for dryland agriculture compared to irrigated agriculture and horticulture, the reason of which is poor pedogenesis‎ due to geological characteristics of the region and limited water resources. The study results indicate that the lands located in the plains and alluvial sediments are more suitable for irrigated agriculture and horticulture, while the lands surrounding the plains are more suitable for drayland agriculture.