Figure - available from: Applied Spatial Analysis and Policy
This content is subject to copyright. Terms and conditions apply.
The relief properties of the conurbation with elevation. This figure made by the author a.Valjarević
Source publication
After the breakup of the former Republic of Yugoslavia, the number of inhabitants in newly formed state of Serbia has been in constant decrease. On the other hand, the number of urban areas has been growing. One of the main goals of former Socialist Federal Republic of Yugoslavia was the development of all the areas, including the rural ones. In th...
Citations
... Jin et al. took a similar approach to maximize spatial coverage, but instead of a cost-benefit analysis, the optimization process involved using a metric called "safety concern index" derived from weather-related crash data [7] . Spatial analysis within GIS platform was also incorporated in several different fields of study, for example, Valjarević et al. (2021) examined the Morava city conurbation in Serbia, utilizing Kriging-based spatial analysis with a particular focus on the interaction between rural and urban areas, traffic connectivity, geographical positioning, and sustainability and profitability [14] . Moreover, Timalsina and Subedi explored the growing significance of open spaces in urban development planning in Nepal. ...
... Jin et al. took a similar approach to maximize spatial coverage, but instead of a cost-benefit analysis, the optimization process involved using a metric called "safety concern index" derived from weather-related crash data [7] . Spatial analysis within GIS platform was also incorporated in several different fields of study, for example, Valjarević et al. (2021) examined the Morava city conurbation in Serbia, utilizing Kriging-based spatial analysis with a particular focus on the interaction between rural and urban areas, traffic connectivity, geographical positioning, and sustainability and profitability [14] . Moreover, Timalsina and Subedi explored the growing significance of open spaces in urban development planning in Nepal. ...
This paper extends the previously developed method of optimizing Road Weather Information Systems (RWIS) station placement by unveiling a sophisticated multi-variable semivariogram model that concurrently considers multiple vital road weather variables. Previous research primarily centered on single-variable analysis focusing on road surface temperature (RST). The study bridges this oversight by introducing a framework that integrates multiple critical weather variables into the RWIS location allocation framework. This novel approach ensures balanced and equitable RWIS distribution across zones and aligns the network with areas both prone to traffic accidents and areas of high uncertainty. To demonstrate the effectiveness of this refinement, the authors applied the framework to Maine’s existing RWIS network, conducted a gap analysis through varying planning scenarios and generated optimal solutions using a heuristic optimization algorithm. The analysis identified areas that would benefit most from additional RWIS stations and guided optimal resource utilization across different road types and priority locations. A sensitivity analysis was also performed to evaluate the effect of different weightings for weather and traffic factors on the selection of optimal locations. The location solutions generated have been adopted by MaineDOT for future implementations, attesting to the model’s practicality and signifying an important advancement for more effective management of road weather conditions.
... Since the concept of HSE was put forward by Doxiadis in the 1950s, it has been the focus of the research fields of Human settlement science (Hoffmann, 2022), geography , ecology (Li G et al., 2021) and urban and rural planning (Luo et al., 2021). Due to its outstanding spatial analysis and computing capabilities, geographic information systems are widely used by scholars in geographic spatial analysis and research on the suitability distribution of human settlements (Wang et al., 2017;Ustaoglu and Aydınoglu, 2020;Luo et al., 2021;Valjarevićet al., 2021;Liu and Li, 2022;Younes et al., 2022). In addition, in order to accurately grasp the research progress on the suitability of human settlements in arid areas, we used VOSviewer literature analysis software to search for relevant literature in the Web of Science. ...
Introduction
Scientific evaluation of the suitability of human settlement in arid areas and a grasp of their spatial differentiation characteristics are of great significance for the implementation of regional human settlement environment (HSE) improvement according to local conditions.
Methods
In this study, we took Gansu Province (GS), a typical arid area in China, as the research object. First, based on field research, we used the analytic hierarchy process to determine the weights of 12 evaluation indicators and build an HSE evaluation model from the two dimensions of nature and humanities. Then, we conduct a comprehensive evaluation of each factor based on the GIS spatial analysis module. Finally, we used the GIS natural breakpoint method and zoning statistics to understand the suitability of the HSE and its spatial distribution characteristics in GS Province.
Results
The study findings can be summarized as follows: (1) The spatial distribution of the suitability of the natural environment in GS Province shows that the east-central part of the province is significantly higher than the northwestern, and there is a big difference between localities. (2) The comprehensive suitability of human settlement in GS Province appears as a spatial distribution characteristic, gradually decreasing from the central urban area to the surrounding areas. The suitability index of the living environment is between 0.26 and 0.71. (3) The area sizes of the five types of suitability are ranked as the following: low suitable (138,502 km²) > moderately suitable (133,761 km²) > critical suitable (97,244 km²) > high suitable (47,459 km²) > unsuitable (38,980km²); in 14 cities, the average value of habitat suitability index is more than 0.5 accounting for 42.9%.
Discussion
Our research not only fills a gap in the research of human settlement in arid zones but also provides policy support for government departments to improve human settlement.
... For land cover analysis, open satellite imagery is mostly used for Earth observations [79]. One of the most important and widely used geodatabases in Europe that can be used to monitor land cover changes is the CORINE Land Cover (CLC) geodatabase developed by the European Environmental Protection Agency. ...
Montenegro has different influences on the weather and climate; in general, according to Köppen's classification, there are two climate zones: warm temperate (C) and cold temperate (D). The aim of this study is to determine the susceptibility to wildfires in the Montenegrin coastal municipality of Budva and the northern municipality of Rožaje, which are located in different climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural and anthropogenic criteria were used for the analysis. Open geospatial data were used as input data for all criteria. The assignment of weighting coefficients for the criteria in relation to wildfire susceptibility importance was based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (F-AHP) procedures. The results for the AHP and F-AHP models were obtained using the Weighted Linear Combination (WLC) method. According to the AHP model, the very high and high category covers 80.93% of the total area in Budva and 80.65% in Rožaje. According to the F-AHP model, the very high and high category occupies 80.71% of the total area in Budva and 82.30% in Rožaje. The validation shows that the models of GIS-MCDA perform fair in both climatic zones. The proposed models, especially in the absence of geospatial data, can be a strategic and operational advantage in the development of plans and strategies for protection against wildfires.
... The industry can be an important source of income and employment for local people, and it can also pose a threat to the social environment of a region, as well as its cultural and natural heritage. However, if properly planned and managed, it can be considered as a force to protect them ( [54,55], pp. 8-12). ...
... In the first step, the main objectives of the research were identified ( [55], p. 119, [45], p. 278). The main purpose of this research was to determine the position of Kaleybar county in the border tourist area. ...
A richness of tourism attractions has given Iran global importance within its border. Iran is a country with a huge cultural heritage, and is rich in historical monuments from different eras. The variety and diversity of cultural symbols allows tourists traveling in Iran to experience the cultures of other countries. The border areas of the country are therefore becoming increasingly attractive for tourism due to their distinctive social, economic and political position and the presence of many historical and natural attractions. This study analyzes border tourism in Kaleybar city using a descriptive-analytical method with a Meta-SWOT model (new strategic planning tool), with the final goal of economic development and the improvement of the welfare of the people. Through a literature review, the current and future capabilities and challenges of the county of Kaleybar as a border city are examined, and future goals and ways to achieve them have been developed using the opinions of experts and scholars via the Delphi technique. For this purpose, the Meta-SWOT model has been used. Meta-SWOT is based on resource-based theory (RBV). Data collection has been done several times using the opinions of 39 experts. After analyzing the conditions and recognizing and determining the capacities and skills of Kaleybar and its regional rivals, the results of the research show that the most important advantage of Kaleybar city concerns the existence of many attractions of a natural character. A higher strategic suitability is also ensured by the presence of parks and coastal sidewalks that attract important internal and foreign investments in this region. On the other hand, the component of political and governmental factors in attracting foreign tourists has the highest effective power, and the component of attention to integrated management in the field of tourism in the country has the highest degree of urgency.
Clarifying the spatiotemporal distribution and influencing factors of mosque architecture in China’s Hehuang region has significant positive implications for the overall protection and development of the region’s architectural cultural heritage. This study utilizes field surveys and acquires POI data of traditional mosques built before 1993 in the region to analyze the distribution characteristics of mosques, aiming to explore future development trends of these religious structures. It also investigates the influencing factors, with the goal of emphasizing the primary and secondary factors affecting mosque distribution. The study finds the following: (1) Mosques are generally centered around the Huangshui Valley, displaying a “central clustering, peripheral dispersal” distribution pattern, forming a spatial structure of “two cores, one belt, multiple points”, with distinct differentiation and overall uneven distribution. (2) Mosques are primarily situated at elevations between 2147 and 2764 m; on slopes less than 15°, in sunny and gentle slopes; within 20 km from rivers; within 14 km from roads; in areas receiving 400–500 mm annual rainfall; and within temperature ranges of 5.54–10.22°C. (3) The study also finds that the spatial distribution of mosques is profoundly influenced by both natural geographical factors and human environmental factors. The better the natural location, the larger and denser the population, the richer the cultural resources, the higher the level of economic development, and the greater the concentration of Hui people, the more numerous and concentrated the mosques. (4) Population factors are the dominant factors for the clustered distribution of traditional mosques in the Hehuang area. Since the construction of mosques in the region is closely related to the number of Hui people and the proportion of Muslim adherents, areas with a high concentration of mosques also have relatively larger populations of Hui people. Temperature, precipitation, altitude, rivers, and roads are foundational factors for traditional mosques in the Hehuang area, influencing mosque distribution as external factors.
As a result of the rapid increase in the world population, the earth surface has started to be damaged due to natural and artificial effects. The extent of the damage to nature can be determined by examining the temporal changes of land use and land cover (LULC). In order to offer healthier and more sustainable living spaces, scientists have produced many studies on the changes in nature. Within the scope of this study, 5 basic training classes were created with the help of Landsat satellite images and CORINE data, covering the period of 1985–2018 for Ereğli-Bor Sub-Basin, which is one of the 9 sub-basins of Konya Closed Basin located in the Central Anatolian Region of Türkiye. Landsat Satellite images, Google Earth Program and CORINE data were overlaid to create a basic training class as artificial areas, agricultural areas—pasture areas—forest areas and wetlands and these areas were classified by supervised classification method. The study was carried out on an area of approximately 331057 ha in and around Ereğli district. Modeling was carried out with the Cellular Automata (CA) Markov Chain Model to determine the urban development potential in the region. In order to estimate the modeling accuracy, the 2018 prediction model was created according to the 2018 reference map, and the validation between the two data was analyzed with the kappa statistics. According to kappa statistics values, it was determined that K_location and K_standard values were 0.9301 and 0.8935, respectively. As a result of the validation in sufficient standards, future prediction models were applied; future models and result maps were prepared for the years 2030–2040. According to the modeling results, it is estimated that the artificial area class in Ereğli district will reach 122.74 km² by 2030 and 142.24 km² in 2040. In addition, it was expressed in detail with the prediction results and maps that there will be a decrease in pasture, forest and agricultural areas in the region until 2030 and 2040. As a result, it is predicted that the ecological balance in the region will change and agricultural production may decrease as a result of the decline in agricultural pasture and forest areas. For this reason, it has been revealed that it is important for the future of humanity that plans such as environmental layout and master development plans to be made by regional manager in the region for the future should be planned in line with the results to be obtained as a result of future prediction models.
Human's exploration of space has changed over time, depending on the
expansion of the limits of his knowledge. Space is infinite, but it is
limited by the possibility of human knowledge. The original man knew very
little about the space in which he lived - about its shape, size, content,
etc. Over time, the space began to take on the shapes that describe it.
Those forms are its dimensions, which increased as knowledge about space
in-creased. Knowledge spread more and more, from the Earth's surface to deep
into the cosmos. Time is known to everyone, but it is difficult to define
and understand. Science, philosophy, religion, art have different
definitions of time, but it can be defined as measuring the progress of
events. Space-time convergence explores the changing relationship between
space and time. Today it is used to interpret the impact of technological
progress on current world processes, especially globalization. The
development of computer technology and virtual reality techniques has led
to numerous changes in the representation of space. Since the initial
development of computer technology, human has tried to create a virtual
image of the world that he could experience with all his senses in the same
way as the image of the "real" world. GIS displays data in a visual, simple
and user-friendly form. The ability to transform spatial data into relevant
information represents its basic value and advantage.
One of the growing areas in the west of Iran is Sanandaj city, the center of Kordestan province, which requires the investigation of the city's growth and the estimation of land degradation. Today, the combination of remote sensing data and spatial models is a useful tool for monitoring and modeling land use and land cover (LULC) changes. In this study, LULC changes and the impact of Sanandaj city growth on land degradation in geographical directions during the period 1989 to 2019 were investigated. Also, the accuracy of three models, artificial neural network-cellular automata (ANN-CA), logistic regression-cellular automata (LR-CA), and the weight of evidence-cellular automata (WOE-CA) for modeling LULC changes was evaluated, and the results of these models were compared with the CA-Markov model. According to the results of the study, ANN-CA, LR-CA, and WOE-CA models, with an accuracy of more than 80%, are efficient and effective for modeling LULC changes and growth of urban areas.
