جستجوی مقالات مرتبط با کلیدواژه « spatial patterns » در نشریات گروه « جغرافیا »

Recognition of spatial patterns of drought plays an important role in monitoring, predicting, confronting, reducing vulnerability, and increasing adaptation to this hazard. This study aims to identify the spatial distribution and analyze the spatial patterns of annual, seasonal, and monthly drought intensities in Iran. For this purpose, the European center Medium-Range Weather Forecast (ECMWF) data for the period 1979-2021 and the ZSI index were used to extract the drought intensities. To achieve the research goal and explain the spatial pattern of the frequency of drought intensities (Extreme, severe, moderate, and weak), spatial statistical methods such as global Moran’s I, Anselin local Moran’s Index, and hot spots were used. The results of the global Moran’s I showed that with increasing intensity, the spatial distribution of drought events has become clustered. The spatial distribution of the local Moran’s Index and hot spots also confirms this. Very clear contrast was observed in the local clusters of high (low) occurrence as well as hot (cold) spots of severe (Extreme) yearly droughts in the south, southeast, and east. In autumn, weak to Extreme droughts show a southeast-northwest pattern. But in spring and winter, the spatial pattern of drought is very strong as opposed to severe and moderate drought. Despite the relatively high variability of maximum positive spatial Autocorrelation of severe and Extreme monthly droughts, their spatial pattern is almost similar. The spatial clusters of severe and very severe droughts in the northwest, northeast, and especially on the Caspian coast, are a serious warning for the management of water resources, especially for precipitation-based activities, such as agriculture.

Inappropriate distribution and a lack of attention to environmental problems, including capacities of space pattern deployment of rural service centers. Optimal deployment of rural services under optimum centers, easy access to these services and economic benefit and stability of the rural environment. The objective of this paper, the spatial analysis in locating the villages to determine the centrality of the services sector in Sardoeiyeh, the method of fuzzy compared with that of the two method used. Ruling approach on the research, descriptive and analytical - is the nature of that can be applied. For this purpose, to weight to a questionnaire data, in the form of ideas and pundits experts, including 10 experts and specialists judge has been used in this field to analyses and weight of research data, also fuzzy models and hierarchical fuzzy gamma. Given the use of natural and human indicators used in this study, to achieve the optimal pattern in determining the centrality of rural services from two ways to weighting FAHP method and information layers and also the use of GAMMA software operator in the geographic information system as space analyst several villages with appropriate measures such as the population , the height and surface slope and also avoid natural hazards like a rift in the region , and that is also prone to earthquakes points to the centrality of adequate detection. Although studies in the research, subject to become writing, but is to be mentioned in the field of fuzzy - technique and comparison of such methods are the latest such methods to determine the centrality of nothing so far has been.

Spatial patterns of migration in different periods to take a different spatial forms, in a particular time and place so that cities can immigration / high transmittable experience. Unbalanced patterns of immigration and settlement concentrated around particular it usually has important economic, social and political activities are leading to the formation of the spatial arrangement is different from other areas. This paper aims to identify spatial patterns of migration between city and country in 1385 and 1390 and to identify the characteristics and spatial patterns of dominant done. The research method used is descriptive analysis and data on population and housing census used different techniques have been used for analysis.
The results show that the municipalities located in the border areas that are geographically on the periphery of the country has a high origin and the majority of the host city at the center of the country. The area is also the largest area of the country (61 percent of the country) in the city that have high immigration (95 city). 80 city high that only 3% of the area of origin into account. Other city had the lowest dynamics of immigration (78 city). These findings suggest that the center-periphery relations in the country is still in need of policy to achieve regional balance in the country''s planning system.

As an indicator of the intensity of the heat temperature air is a basic element of understanding and view of the solar energy received by the Earth's irregular changes included extensive. Ice cold waves and one of the most important phenomena in Climatology is the study of daily temperature changes over time arises. The aim of this study was to analyze the spatial variability of core cooling in the North West of Iran during the various waves. For this purpose minimum temperature data and climatology station 42 were the highest during the period of the country's Meteorological Agency. The day was considered as a cold wave that has a standard score equal to or less than 2 / -1. In accordance with this definition programming using MATLAB software environment days with cold wave extraction and analysis of spatial autocorrelation Moran was studied and analyzed. The results of this study indicate that although core cooling waves of distributed heterogeneous spatial distribution has been but the major focus of this core cluster pattern in the eastern part of the study area is high. The results of the analysis showed that in the course of recent decades addition to the marked decline in the range of core cooling, The intensity of cooling cores for different durations, especially the continuation of five and six days has been reduced.

Leisure is a new social area that in the context of modernity, contemporary social and cultural changes, and the growth of culture of consumerism, has realized its meaning and importance. Spending leisure time is one of the major functional areas in cities. The purpose of this article was an analysis of the leisure patterns in Kermanshah in order to find the right solution for leisure time development in the region. The obtained results showed that there was a direct relationship between leisure time, urban infrastructures, social- cultural attractions and the historical-natural attractions. The relationship between leisure time and other factors, i.e., historical, social-cultural attractions, urban infrastructure and natural attractions, according to the multivariate regression was 0.609, 0.089, 0.102 and 0.478. Thus, the highest correlation was between leisure time and historical attractions. Also using the Spearman method, it was seen that there was a significant and positive correlation between leisure time and urban infrastructures (r= 0.555) at the 0.99 of confidential level which meant that infrastructure was considered better than spending leisure time as far as the families satisfaction was regarded. Thus, the highest correlation using Spearman method was between leisure time and urban infrastructure. Also using one sample t -test, except for the dimensions of natural attractions in other cases proved the significant difference between the mentioned variables.

In many large cities and dense spatial pattern of educational applications for various reasons، such as the placement of the annoying User Account industrial، military، hospitals، Oil Station، medical use… and the situation is not so good. Which cause undesirable physical and psychological impact on the quality of schools and students. Therefore، in this study high school in Ahwaz region 2 and 4، for example، has been studied. The Variables، office، residential، commercial، cultural، sports، landscape، military، religious، fire stations، Oil station، health - medical، industrial، Terminal and main street. In order to assess the effect of weighting the variables in the ultimate goal of FDAHP model is usedAfter determining the final weight of the item using Raster Calculator and multiplication، weight is applied in layers. In order to provide a final layer using the Raster Calculator and select the operand، the layers overlap with each other are combined. Final results of layer integration show that most of the schools in the district 2 are in a inappropriate state of adjacent and compatibility pattern with other adjacent uses. So spatial distribution pattern of high schools in district 2 is not eligible. spatial distribution pattern of high school in district 4 show that most schools of district 4 is in a proper state of placement and adjacent with compatible and incompatible uses. So spatial distribution pattern of high schools uses in district 4 is appropriate.