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Showing 172 results for Spatial


Volume 0, Issue 0 (2-2024)
Abstract

Prepositions are linguistic elements that indicate the physical properties of referent and relatum and the geometry of the manner in which they interact with one another. Numerous studies have shown that prepositions in their abstract usages retain at least one of their spatial geometric features which is testimony to embodiment theory and it also suggests that understanding of abstract usages of prepositions can be better done by first studying the spatial usages of them. In this research we consider and analayse spatial geometry of different usages of Persain preposition /dᴂr/ applying Talmy's approach towards spatial structuring in language. Fourteen distinct usages were extracted from Hamshahri Corpus. The spatial geometry of each usage was analaysed and at least one image schema has been proposed for each usage. As a result of close study of various usages we observed that in all usages either the factor "enclosure" or "locus of control" or both are present in the geometry of  the preposition. In one instance we observed a tertiary reference object for locating the Figure in the scene. An investigation of one spatial geometry ascribed to the preposition /dᴂr/ led to suggesting a volumar schema for "way". Also in some usages the use of metonomy can be seen where part of the real Ground or an entity related to it appears as Ground in the sentence.
 

Volume 0, Issue 0 (12-2024)
Abstract

Aim and Introduction 
By integrating insights from psychology—especially cognitive psychology—into economic theory, behavioral economics provides a more realistic understanding of human behavior and economic decision-making (Thaler, 2017). A key subset of this field is behavioral finance, which posits that investment decisions are not always based on rational optimization. Instead, behavioral factors often lead to perceptual distortions, biased judgments, and irrational interpretations. These tendencies stem from various behavioral biases—collectively referred to as irrational behaviors—which commonly arise due to investors’ limited capacity to process information and the impact of emotional factors on their decision-making (Abildgren et al., 2018; Di Stefani, 2021; He & Xia, 2020; Glavatsky et al., 2021; Lan, 2014; Mayer & Siani, 2009; Tan, 2022; Yang et al., 2020).
One notable cognitive bias is herding behavior, which refers to individuals mimicking the actions of the majority. This phenomenon is particularly notorious in markets such as housing, coins, and currency, where it is widely regarded by experts as a primary driver of severe and irrational price fluctuations (Rook, 2006).
Methodology
This research employs spatial econometric techniques to analyze the effects of dependency culture on herding behavior in the housing market across 31 Iranian provinces from 1390 to 1400 (2011–2021) on a seasonal basis. Spatial econometrics extends traditional panel data models by incorporating geographical dimensions, which enables the analysis of spatial interdependence and regional heterogeneity. In the presence of spatial components, two primary issues must be addressed: spatial dependence, which refers to correlation among geographically proximate units, and spatial heterogeneity, which refers to structural differences across regions.
Before estimating the spatial panel models, tests for spatial autocorrelation were conducted to determine the necessity of incorporating spatial effects into the analysis. Specifically, Moran’s I, Geary’s C, and Getis-Ord J statistics were used to assess the presence of spatial autocorrelation among the error terms. A significant spatial dependence justifies the application of spatial econometric models. To define spatial relationships, two forms of spatial weighting structures were considered: coordinate-based distances derived from latitude and longitude, and neighborhood-based contiguity matrices that capture the relative location of each province in relation to others. Based on the detection of significant spatial autocorrelation, the Spatial Autoregressive (SAR) model was selected to capture the dynamic spatial interactions within the housing market across Iranian provinces.
Findings
The results of the spatial econometric analysis confirm that exchange rate fluctuations have a positive and statistically significant impact on the housing market across both the target provinces and their neighboring regions. This finding supports the hypothesis that dependency culture, shaped by sensitivity to macroeconomic signals such as exchange rate movements, plays a key role in fostering herd behavior within Iran’s housing sector during the study period. The presence of spatial spillovers indicates that changes in one province can influence housing activity in surrounding areas, reinforcing regional contagion effects.
In addition to the exchange rate, the variables of inflation rate, population density index, and the logarithm of stock exchange transaction volume were also found to have positive and significant effects on housing market dynamics. These factors appear to stimulate speculative behavior and intensify market activity. Conversely, the logarithm of the distance from Tehran province exhibited a negative and significant effect on housing market outcomes.
Discussion and Conclusion
In Iran, there are no legal limitations on the frequency of property transactions, which allows a residential unit or parcel of land to be repeatedly traded within a year. This lack of regulation encourages speculative and herding behavior. To mitigate this, the study recommends implementing transaction limits and a more effective taxation system, similar to those used in developed countries. For example, imposing higher taxes on multiple home ownership and on vacant housing units can discourage speculation.
Despite the high number of vacant units, a significant proportion of Iranian households remain without access to adequate housing and face declining welfare due to soaring rents. Targeted housing assistance—including free land allocation—could help meet the actual demand and reduce speculative demand, thereby limiting herd behavior.
Furthermore, price booms typically originate in metropolitan and affluent regions, suggesting that a more balanced spatial development strategy could help diffuse housing market pressures. Introducing region-specific construction and transaction regulations, especially in high-risk speculative areas, could further manage housing price volatility.
Finally, encouraging investment in parallel financial markets and increasing stability and public trust in those markets could redirect speculative behavior away from real estate. Creating viable alternative investment opportunities would absorb excess liquidity and help stabilize the housing sector.



Volume 0, Issue 0 (12-2024)
Abstract

Aim and Introduction
One of the most critical criteria for assessing the development of the digital economy is financial deepening. Most analysts agree that financial deepening can accelerate economic growth. Economic policy orientations are increasingly aligned with the objectives of financial deepening, underscoring its growing significance. The digital economy is characterized by its large scale, rapid development, and strong connectivity—factors that demand more accurate and efficient financial support.
Financial deepening refers to the multi-dimensional strategy for establishing a market-oriented, multi-level financial system to foster economic growth. This approach includes the expansion and development of financial markets, the creation of innovative financial products and services, the reform of financial institutions, and the strengthening of financial supervision. The digital economy today extends beyond the realms of electronics, communication, and information industries, and has deeply integrated with the traditional economy. It no longer represents merely a part of the economy but increasingly defines it as a whole. Given its potential for growth and high profitability, the digital economy and its associated industries require substantial financial support.
Financial deepening enhances the stock of liquid assets, expands financing channels, and directs capital flows toward competitive, high-yield digital sectors—thereby promoting their rapid development. Financial institutions are increasingly supporting emerging industries through targeted credit policies and are actively facilitating the digital transformation of traditional sectors. Furthermore, regional financial deepening improves the accessibility of financial intermediaries—such as banks and venture capital firms—to real-time corporate information. This reduces financing constraints, broadens financing channels, lowers capital costs, and provides firms with more diverse financial options.
For digital economy enterprises, financial deepening improves resource allocation efficiency through the integration of advanced technologies such as big data. It enables the effective investment of funds in critical areas of the digital economy, thereby fostering its development. As the digital economy expands, it becomes essential to manage the associated financial risks. Financial deepening addresses these concerns by reinforcing the financial market infrastructure, enhancing the regulatory environment, and adopting comprehensive risk management strategies to ensure the sector's sustainable and healthy growth.
Moreover, financial deepening spurs innovation in digital payment systems, digital currencies, financial technologies, and other related fields, resulting in more efficient and accessible financial services that underpin digital economy growth. Overall, financial deepening plays an important role in reducing financial constraints, enhancing resource allocation, managing financial risks, and providing vital financial services to support the robust and sustainable development of the digital economy.
Methodology
This study employs a random dynamic panel model using the Spatial Generalized Method of Moments—Dynamic Panel Data (SGMM-DPD-SDM) framework with two-stage Arellano-Bond estimation and random dynamic coefficients. To evaluate the effects of financial deepening, economic openness, government size, and economic growth on digital economy development in MENA countries, spatial econometric techniques are applied. In this model, the development of the digital economy is the key dependent variable.
The selection of explanatory variables—namely financial deepening, economic openness, government size, and economic growth—is grounded in theoretical foundations. The inclusion of the lagged dependent variable in the model introduces autocorrelation between the explanatory variables and the error term, violating one of the classical assumptions of panel models. Consequently, the use of ordinary least squares methods in fixed and random effects models would yield biased and inconsistent estimates. Therefore, dynamic panel data techniques are employed to ensure robustness.
Findings
The results indicate that financial deepening significantly enhances digital economy development. Additionally, its spatial effects reveal that financial deepening in one country positively influences neighboring countries. According to the spatial lag estimation, the digital development of a given country is affected by the weighted average of digital development levels in neighboring countries, with an estimated effect of 0.82.
The estimated coefficients for economic growth, government size, and economic openness are all positive and statistically significant, confirming their direct contribution to digital development. Moreover, these variables exhibit spatial spillover effects, further validating the presence of regional interdependencies. All spatial proximity-related variables are statistically significant, underscoring the importance of spatial and regional dynamics in understanding the influence of these factors on digital development.
Discussion and Conclusion
To promote financial deepening and foster the growth of the digital economy, the following recommendations are proposed based on the research findings:
Gradual reforms in the financial system should be pursued, with an emphasis on improving the efficiency and quality of financial services through the establishment of a sound regulatory framework. Strengthening the capacity of financial services for the real economy and encouraging traditional financial institutions to enhance their service offerings will ensure robust financial support. Simplifying approval processes for digital economy enterprises and lowering funding thresholds are also crucial for enabling the rapid development of this dynamic sector.
Encouraging innovation in financial products and services tailored to the needs of the digital economy—such as those based on e-commerce platforms and blockchain technologies—will drive further progress. Additionally, promoting direct financing through the gradual liberalization of capital markets and increasing their share in the financial system can significantly stimulate economic growth.
Welcoming foreign investment and facilitating the entry of international financial institutions will bring in much-needed capital and advanced financial technologies. These measures will not only enrich the financial ecosystem but also accelerate the digital transformation process across the MENA region


Volume 1, Issue 1 (12-2018)
Abstract

 
Abstract
Aims: Today, due to a large change in economic, political, and other relations, the spatial structure of cities, especially metropolises, is subject to rapid changes. Regarding the influence of structural components, especially the component of politics (power), on space, on
one hand, and the existence of oil revenues and structural features of Iran on the other hand, consideration of the spatial transformations of metropolises is necessary in terms of politics and power. The aim of this study was to investigate the pattern of spatial transformations of Tehran and Tabriz metropolises in the context of Iranian oil economy.
Instruments and Methods: In this analytical-descriptive study, the required data, information, and concepts related to the indices explaining the spatial transformations of Tehran and Tabriz metropolises were collected directly with access to some information sources, including the Central Bank site and the Statistical Center. In the theoretical foundation, the most part of the study was done in library. Pearson correlation coefficient and Simultaneous regression test were used to determine the relationship between oil revenues of the country and building approval certificates issued by the municipality of Tehran and Tabriz.
Findings: The oil revenues had a direct correlation with the number of building approval certificates issued in Tabriz (r=0.5663; p=0.0025) and Tehran (r=0.7440; p=0.0005). The oil revenues could explain 56.63% of the building approval certificates issued in Tabriz and 74.44% of the building approval certificates issued in Tehran.
Conclusion: Production, spatial transformations, and construction activities in Tehran and Tabriz metropolises are directly affected by oil revenues.
 

Volume 1, Issue 1 (12-2018)
Abstract

Abstract
Aims: Affected by natural and human phenomena, the spatial order forms the urban network. In a balanced urban system, due to hierarchical functions and activities in different cities, and fair provision of services to the existing population, there are hierarchical links between cities. The aim of this study was to investigate the urban network based on functional analysis and factors affecting the urban network deformation in Khorasan Razavi province.
Instruments and Methods: Using survey research method, the present descriptive-analytical study was conducted in 2015 among 118 experts of the provincial government, Road and Urban Development Office of Khorasan Razavi province, Governorate, Municipalities, University Jihad of Ferdowsi University, Geography professors of Ferdowsi University of Mashhad, and mayors of Khorasan Razavi province; In this study, convenience sampling method was used. The research tool was researcher made questionnaire. Factors affecting spatial imbalance were evaluated through structural equation modeling and confirmatory and exploratory factor analysis, using SPSS 22 and Lisrel 8.52 software.
Findings: Economic, infrastructural, and political factors had the greatest effect on spatial imbalance with factor loading of 0.77, 0.75, and 0.75, respectively.
Conclusion:  Mashhad is at the highest and Bajgiran is at the lowest level in terms of development factors. Among the factors influencing the spatial imbalance, the changes in the country's division in the provincal level (change village to city), centralized system governance, the lack of attention to the role of the middle cities in division of labor (political factors), the focus of activities in metropolises, disproportionate allocation of credits at the provincial level, the focus of roles in Mashhad (economic factors), and the focus of superior educational and health-care services (infrastructural factors) have a more effective role.

Volume 1, Issue 1 (12-2018)
Abstract

Abstract
Introduction: Nowadays, Tehran is the most important challenge of political management of space in Iran due to the accumulation of problems in natural and human dimensions. The most important dimensions of this challenge are population density and the lack of coordinated management to overcome this problem and its consequences. Since one cannot consider Tehran separated from far and near hinterland, the first issue is the lack of spatial/geographical justice in these hinterlands. Tehran's problems can be analyzed in three levels: physical-residential, regional, and national. This descriptive-analytical research was carried out based on library resources with the aim of analyzing spatial justice in Iran and organizing political space in Tehran.
Conclusion: The lack of spatial planning and sustainable development approach on the national, regional, and local scale in the Iranian planning system has, above all, resulted in intense centralization, institutionalized, and has led to the formation of the center of the periphery pattern in the country. The performance of development programs, before and after the revolution, has led to the imbalance of the governing pattern of the spatial structure of the country. Also, the spatial/geographical injustice in the country and consequently in Tehran province, as well as the lack of integrated management in Tehran's urban management have caused Tehran's current problems. In order to solve the problems of Tehran and its optimal administration, it should be planned based on the available resources with the fair spatial planning approach to space and in the framework of the spatial planning strategy, using the space justice in three short, medium, and long periods, in order to provide the optimal administration of Tehran.
 

Volume 1, Issue 2 (12-2019)
Abstract

Introduction: Spatial planning is a set of measures to organize the distribution of human and activities carried out in the geographical space. Each area should enjoy a range of economic and social activities based on its capabilities, needs, and situation. Spatial planning is the basis of organizing regional development and it is the main instrument for regional and national planning and policy making; it provides the basis for the preparation of socio-economic development plans for each area or country. Since for the fulfillment of development objectives all social resources, including human, economic, spatial, and environmental resources should be used and making use of all these elements needs planning, spatial planning is the basis of comprehensive development plans and projects and connects spatial, social, and economic planning, or as a whole in the form of comprehensive planning, in regional and national scale. Border areas have special characteristics due to their contacts with the external environments. The cross-border exchanges and spatial connections between the adjacent countries as well as the various vulnerabilities and threats posed by this issue necessitate special care to the process of development planning in these areas. The aim of the present research was to investigate the employed strategies for spatial plannig in brder areas in Five-Year economic, social, and cultural development plans of Islamic Republic of Iran (1st to 5th Plan).
Conclusion: In general, and especially in the 3rd and 4th plans, the economic strategy is more important. Also, spatial differences have not been considered in 5-year development plans; strategies ignored the differences in the various border areas of the country and looked at all areas in the same way. In addition, a special type of strategy is focused in each plan.
 

Volume 1, Issue 2 (12-2019)
Abstract

Aims: Nowadays, referred to as clean industry, tourism is one of the important issues that cannot be ignored due to its huge impact on economy of societies. In order to develop tourism areas, such areas should first be identified. The aim of this study was to present an optimal spatial development pattern of tourism areas in Tehran province, using TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method.

Instruments and Methods: The present study is applied developmental in terms of aim and descriptive-analytical in terms of research method. The research population consisted of 30 scholars, experts, tourism planners, and experts of Cultural Heritage, Handicrafts, and Tourism Organization. The data were collected from library and organizational studies and field surveys, such as questionnaires, interviews, and observations. In 2016, the TOPSIS method was utilized and 10 indices in Tehran province were used in order to group the areas. ArcGIS10.2 was used for clustering.

Findings: For the spatial development of tourism industry, Tehran province was divided into 3 clusters, in which the eastern and northern parts of the province were assigned to cluster 1, the western, central, and southeastern parts of the province were assigned to cluster 2, and southwestern parts of the province were assigned to cluster 3.

Conclusion: In ordre to present an optimal spatial development pattern of tourism areas in Tehran province using the TOPSIS method, 3 clusters of Tehran province are divided into cluster 1 (Eastern and northern parts), cluster 2 (western, central, and southeastern parts), and cluster 3 (southwestern parts).



Volume 1, Issue 2 (12-2019)
Abstract

Abstract
Introduction: With its special geographical and topographical conditions, springs, waterfalls, variety of herbals, wildlife, and historical buildings, Khur va Biabanak has a high capacity to attract tourists. Strategic planning can be a way to exploit these opportunities. Hence, the aim of this study was to identify strategic priorities of economic development with an emphasis on ecotourism in Khur va Biabanak, Isfahan.
Instrument and Methods: In this descriptive-analytical research, the data were collected, using library and field method and two groups, including 150 tourists and 30 tourism experts were selected, using available sampling method. To identify the strengths, weaknesses, opportunities, and threats as well as to complete the information, the specialists were referred and a list of strategies was prepared. The SWOT model was used to select economic development strategies and the data were analyzed by GIS software.
Findings: In External Factor Analysis Summary (EFAS), the "diversification of ecotourism attractions" with a weight of 0.069 was the first opportunity and "environmental degradation and damage to historical monuments" with a weight of 0.053 was considered as the most important threat. In the Internal Factor Analysis Summary (IFAS) matrix, the most important strength was "the variation of ecotourism attractions in the region" with a weight of 0.069 and the most important weaknesses was "physical and environmental infrastructure shortage" with a weight of 0.063. The directional strategy of this city was a competitive strategy (ST).
Conclusion: "The development of cooperation between organizations involved in managing tourist attractions, paying attention to the participation of people, increasing the advertising for the introduction of tourist attractions, and tourist attraction during the year by presenting various types of ecotourism" are the most important strategies for the economic development of tourism in Khur va Biabanak, Isfahan.
 

Volume 1, Issue 2 (12-2019)
Abstract

Aims: Urban spatial planning may be defined as the spatial planning in the geographical location of the city, based on the approach of providing the needs of inhabitants within the geographic spaces, following the recreation of the roles and functions of urban elements. By planning identity signs in urban spaces, it is meant to make the safety and security of the city sustainable. By identifying the emotional, psychological, and educational needs of citizens, visual discipline is created; by planning the identity signs of city’s index and planning the signs, vitality is created for citizens; and in completion, with city architecture, facade and urban landscape will be managed in such a way that the citizens' mental and objective needs are met. Given the role of signs in the city, the question of this study is in what situations, will signs meet the need for security and self-awareness of the inhabitants? In what situations, are vitality and beauty transmitted to the citizens and affect the city's atmosphere? Applying a descriptive-analytical method and using library studies as well as available documents, this study examined the planning of urban signs to achieve the main function of the sign.
Conclusion: Signs in urban spaces with appropriate planning can have positive effects and meet citizens' needs for self-awareness, security, education, etc. In this regard, convergence should be created among decision makers, urban managers, and culture, community, economics, politics, and geography of the urban space of citizens.

Volume 1, Issue 2 (12-2019)
Abstract

Introduction: As one of the oldest and the most dynamic branches of political geography, Electoral geography has experienced ups and downs more than other branches of political geography. The objective ontology of the phenomenon of vote and its spatial distribution have linked this branch to spatial approach so that a large proportion of works in the area of Electoral geography have been written based on this approach. With the fall of positivism, the researches of Electoral geography also decreased. On the other hand, domination of descriptive, case, and applied studies without a robust theoretical and philosophical basis on theoretical and basic writings, is the main deficiency of Electoral geography in International and Iranian level. The aim of the present theoretical-fundamental study was to explain the dominant theoretical approaches in Electoral geography.
Conclusion: The Electoral geography can be explored in five theoretical approaches. The first approach is the traditional approach that deals with the spatial patterns of voting in the form of a regional school and human-environment relations. The second one is a spatial-behavioral approach that examines the voting behavior according to the measurement and analysis of key spatial variables based on the spatial school. The third approach is a radical approach that base on radical geography school deals with the theoretical articulation and revealing mechanisms that form Electoral processes. The fourth approach is a location-based approach that focuses on the impact of geographic-historical context on electoral behavior on the basis of the humanistic geography school and structuration theory. And, the fifth approach is a critical approach that criticizes the current approaches to the study of electoral geography and the presesentation of alternative readerships of electoral geography based on schools such as feminism, post-structuralism, and post-modernism.

Volume 1, Issue 2 (12-2019)
Abstract

Introduction: The main purpose of organizing space in each country is, firstly, providing an optimal service to the maximum of citizens and, secondly, managing the people who live in a country. Despite numerous attempts, geographical space of Iran is away from the spatial justice and the center-periphery pattern is the dominant pattern of its spatial relationships. The aim of this study was to investigate the foundations of spatial injustice in Iran. This paper with analytical–descriptive method and relying on the library resources tried to identify and classify the factors affecting the spatial injustice in Iran.
Conclusion: Spatial injustice in Iran comes from two main areas, including the natural, cultural, social, and economic conditions of any geographic location (the inherent characteristics of the regions), and the political economy of space, decisions of policy makers, and economic planners. The peripheral areas with 16 provinces and central areas with 14 provinces (including Alborz province) form the political space of Iran. Peripheral areas of the country include about 50% of area and 50.7% of the population, showing that 50% of development of the country should be concentrated in border areas so that regional balances are established in the spatial pattern of Iran. The focus of facilities and services in the center causes the remoteness of some provinces and their exclusion from these benefits.

Volume 1, Issue 3 (12-2019)
Abstract

It is notable that the legal and geopolitical aspects are considered as critical dimensions of spatial planning because they are the political aspects of spatial planning. The width the Persian Gulf and human structures as artificial islands, legal and geopolitical dimension and political nature. In this paper, we analyze the legal and geopolitical consequences of the UAE's artificial islands. This research is objective, fundamental and in terms of nature and method, descriptive-analytical and content analysis. To this end, the maritime laws of the UAE and other international documents have been investigated. In this way, we categorize the consequences of the construction of UAE artificial islands into three sub-topics: Environmental legal issues, borderline delineation, and coastal advancement toward the sea. There are no legal prohibitions on the construction of artificial islands by the UAE. Therefore, the erosion and sedimentation of the UAE’s coastal environment may make the country a displacement of maritime boundary lines. However, it is not acceptable due to several reasons, e.g., multilateralism of the international treaties, confliction with international laws such as the Convention of 1969, incompatibility with international norms, special conditions of the Gulf, the UAE's destructive and unilateral performance, and the impact of human factors. Therefore, the UAE needs to assess the environmental impact of the construction of artificial islands and bring awareness to the countries of the region. Additionally, they need to cooperate with neighboring countries to protect the sea environment. It should be mentioned that the construction of artificial islands has several geopolitical consequences such as possibility of military usage of these structures by third countries, destabilizing regional security due to the presence of foreign troops, promotion of Iran phobia, the intensification of the territorial and territorial divisions of Iran with the UAE, and the involvement of third countries.

Volume 1, Issue 3 (9-2023)
Abstract

This study focuses on determining the concentration of fluoride ions in selected hand-dug wells and investigating its health implications in Gwagwalada Area Council, Federal Capital Territory, Abuja. The necessity for this investigation arose from observed health issues, including dental and skeletal fluorosis among the residents in the area. Fifteen sampling points (well water sources) were chosen in the study area, and a total of forty-five samples (three per sampling point) were collected. The calorimetric water quality analysis method was employed to analyze these samples in the laboratory. Additionally, the Inverse Distance Weighting (IDW) interpolation method was used to generate a spatial variation map for fluoride ion concentration using ArcMap. The results indicate a concentration range of 0.122 mg/L to 1.910 mg/L across the study area. When compared with the recommendations for fluoride ion concentration in the Nigeria Industrial Standard (NIS) for drinking water (0.1 – 1.0 mg/L), approximately 67% of the sampling points (10 out of 15) fall within the recommended values, while 33% fall outside. The areas with higher fluoride ion concentrations include Dupa 1, Dupa 2, Tunga Maje 1, Tunga Maje 2, and Old Kutunku 2. The study concludes that the observed dental and skeletal fluorosis in these areas can be attributed to the consumption of water with high fluoride concentrations. Consequently, the study recommends increased attention from both local and federal authorities to provide potable water for human consumption in these areas to address the associated health challenges.

Volume 1, Issue 3 (9-2023)
Abstract

Following years of contamination, rivers may experience sig­nificant levels of heavy metal pollution. Our research aims to pinpoint hazardous areas in these rivers. In our specific case, we focus on the floodplains of the Meuse River contaminated with zinc (Zn). Elevated zinc concentrations can lead to various health issues, including anemia, rashes, vomiting, and stomach cramping. However, due to limited sample data on zinc con­centrations in the Meuse River, it becomes imperative to gen­erate missing data in unidentified regions. This study employs universal Kriging in spatial data mining to investigate and pre­dict unknown zinc pollutants. The semivariogram serves as a valuable tool for illustrating the variability pattern of zinc. To predict concentrations in unknown regions, the model captured is interpolated using the Kriging method. Employing regression with geographic weighting allows us to observe how stimu­lus-response relationships change spatially. Various semivario­gram models, such as Matern, exponential, and linear, are uti­lized in our work. Additionally, we introduce Universal Kriging and geographically weighted regression. Experimental findings indicate that: (i) the Matern model, determined by calculating the minimum error sum of squares, is the most suitable theoret­ical semivariogram model; and (ii) the accuracy of predictions is visually demonstrated by projecting results onto a real map.

Volume 2, Issue 1 (4-2002)
Abstract

In this paper, the effects of reflected waves of the facets on the internal optical intensity of semiconductor DFB lasers are investigated. The uniformity of optical intensity along the cavity length is evaluated with flatness parameter. The dependence of this parameter on coupling coefficient, reflectivity and grating phase at the facets is also studied. This investigation shows that in some structures reflected waves of the facets cause optical intensity along the cavity length to have more uniformed distribution than a DFB laser with anti-reflective facets. It is also shown that flatness parameter is very sensitive to grating phase .Thus it is necessary for designing a DFB laser to consider the effects of reflected wave and grating phase at both ends of cavity in order to increase the stability of the laser against SHB (Spatial Hole Burning) effect. The effects of reflectivity and grating phase on longitudinal distribution of photon and carrier density above threshold are investigated, too.

Volume 2, Issue 1 (7-2021)
Abstract

Aims: The lands of Abbas Abad have a special place and position in the city of Tehran, and for this reason, during the last half century, it has always been considered by decision makers, planners, planners and urban designers. The urban plans presented for these lands, in addition to the design-spatial aspects, contain special ideological dimensions that may not be obvious at first glance. Understanding and explaining these dimensions is the main purpose of this forthcoming article.
Methods: In order to better understand these two aspects, the method of discourse analysis is used. Accordingly, relying on a structuralist approach based on linguistic teachings in the face of existing documents, the two parts of intra-lingual and extra-lingual factors are opposed to each other.
Results: Based on the methodological approach of the article, on the one hand, intralingual factors include design-spatial aspects of the design and on the other hand, extralinguistic factors related to its ideological aspects.  Accordingly, it is shown that the existing ideas in the design-spatial dimensions of each of the proposed plans are an attempt to realize a part of the ideological dimension of this plan; Which, ironically, can be seen in their first perspectives.
Conclusion: Despite the formal differences in the spatial dimensions of urban plans of Abbas Abad lands in the two time periods considered in the article, each of these plans has a specific and unique ideological logic. Follows himself; Which is clearly tied to the initial perspectives of the designs.

Volume 2, Issue 2 (9-2013)
Abstract

Factors affecting the spatial variations of water quality of the Mazandaran coastal ecosystem was determined in summer 2012. For this purpose, water quality parameters (nutrients, temperature, conductivity, salinity, dissolved oxygen, pH, chlorophyll α and turbidity) were evaluated along 4 transects (Amirabad, Babolsar, Noshahr and Ramsar) in the depths of 5, 10, 20 and 50m, using multivariate analysis methods.  Based on the cluster analysis of data, the sampling sites could be classified into 5 distinct groups, including 35-50m water layer of station 50m in all transects, 0-5m layer in station 5m in all transects, Ramsar transect and the majority of surface and bottom layers of 3 transects including Noshahr, Babolsar and Amirabad. Based on discriminant analysis, 86.40% of the sampling sites were correctly classified. Factor analysis explained 87.53% of the total variance, the five principal components of which (viz. temperature, turbidity, nitrate, silica and ammonium) were considered as the most effective parameters on the spatial variation of water quality. This study suggests that the number of sampling locations can be reduced to two transects. Thermocline, transport of nutrients (specially phosphorus and ammonium) from rivers, sea floor, cage culture and the ctenophore, M. leidyi, were the most effective sources on spatial variations of water quality. Moreover, the multivariate statistical methods were found to be useful tools to recognize the spatial variations pattern along the Mazandaran coasts in summer.

Volume 2, Issue 2 (12-2020)
Abstract

Iran has long borders with politically, security,defense and even territorially unstable neighbors,and with 8573.7 km of border and having 16 border provinces(more than half of the country) and 15 neighboring countries after Russia and China has the most borders.The special situation in the Middle East and the instability and tension in the neighboring countries,some divergent movements in the border areas in the past and now,etc.have caused a kind of pessimism and threatening view of the border areas by the government and border areas have been affected by the security approach.The approach of Iran's spatial structure is unbalanced,which despite many efforts is far from spatial justice and the center-structure is around the dominant pattern of its spatial relations and Iran's border areas do not have the desired level of development compared to the core and center of the country. Shannon and the TOPSIS multi-criteria decision-making model classify the cities of East and West Azerbaijan provinces from the perspective of spatial justice in order to highlight the effects of the security approach on spatial justice in these cities, especially border cities.The results of this study show that although the security approach in border management has improved security in its hard dimension, but the restrictions imposed on the intensification of backwardness and unbalanced distribution of spatial justice in the border cities of East and West Azerbaijan, especially Jolfa, Poldasht and Mako Implicitly, this can have consequences such as migration,land use change,environmental change,lack of employment and negative population growth rates in border areas.
The results of this study show that although the security approach in border management has improved security in its hard dimension, but the restrictions imposed on the intensification of backwardness and unbalanced distribution of spatial justice in the border cities of East and West Azerbaijan, especially Jolfa, Poldasht and Mako Implicitly, this issue can have adverse consequences such as migration, land-use change, environmental change, lack of employment and negative population growth rates in border area

Volume 2, Issue 3 (9-2014)
Abstract

Since the change of land use accrued in the Iran, especially in northern Iran, this research aims tocompare the spatial variability of soil properties in three adjacent land uses including cultivated by wheat lands, grazing lands and forest Lands covered by juniperus sp,  fagus orientalis, quercus castanifolia, and acer velotinum species in kiasar region, Mazandaran Province, northern Iran. Some of soil features, i.e. pH, CaCO3, total nitrogen (TN), soil organic carbon (SOC), electric conductivity (EC), percentage of silt, clay and sand contents and saturation moisture content(SM) were measured at a grid with 20 m sampling distance on the top soil (0 – 30 cm depth). Accordingly, total of 147samples were taken from 49 soil sites. The normality of data was examined by the tests of normality. Then, data were analyzed by using of geostatistics approach. The results showed that spatial distribution of many soil properties could be well described by spherical model in the forest and exponential model in the cultivated and grazing lands. Spatial dependences were the highest for SOC, EC and the lowest for silt, (SOC and silt) in the forest method and grazing lands, respectively. Deforestation and conversion to cultivated and grazing lands decreased spatial dependence of soil properties.

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