Search published articles


Showing 3 results for Geography

Abbas Saidi,
Volume 1, Issue 1 (12-2012)
Abstract

Spatial planning approaches along with complication of societies are being changed. These changes and transformations have reflected themselves in increasing diversification of economic patterns, people, group, organization, and institution’s mobility. While in less developed network societies some of the concepts including “distance” and “movement “are relatively losing their importance , some fairly new ones such as “time “ and “timespace convergence “ are gaining ground .As a matter of fact, problems associated with spatial planning in less developing economies possess different nature. Appropriate response to these problems require application of compatible strategic planning as well as changes in planning style .Structuralfunctional approaches as a strategic planning tool regarding organization of space at different levels and scales within new social geography framework tries to explain complex aspects of spatial organization in less developed societies as well as to find solutions with respect to rooted functional-structural relation problems. The major objective of this paper is to compile the needed materials regarding such a unique strategic spatial planning.

 
Mehrangiz Rezaei, Hassan Ali Faraji Sabkbar, Hamed Mazinani, Siamak Tahmasebi,
Volume 11, Issue 39 (5-2022)
Abstract

 Introduction
One of the most prominent features of the economic landscape is the intense geographical concentration of economic activity. Economic activities tend to be located in specific locations (for example, near markets or raw materials) and often some industries are concentrated in specific areas. Surveys show that out of 619,000 cattle and calf farms in the country, only 27,000 (4%) operate industrially. However, the share of the number of cows and calves and milk production of industrial farms from the total number of farms in the country is 32% and 58%, respectively. In this paper, the spatial distribution analysis of industrial cattle farming will be performed in two stages. First, the pattern of spatial distribution in the provinces in 2013, 2016 and 2019 has been studied, and then, using spatial regression method, more details of the regional concentration in industrial cattle farming are provided. More precisely, it has been tested to what extent natural and geographical factors, transportation, raw materials, are able to explain the spatial pattern of the geographical concentration of industrial cattle farming.

 Methodology
The research is applied in terms of purpose and exploratory-confirmatory in terms of method. The research data are related to the number of active dairy and beef cattle’s divided and showed by provinces and extracted from the results of the census of the industrial cattle farming of the country in 2013, 2016 and 2019. The main determinants of the research are: percentage of barley production, percentage of forage production, average elevation, GDP, average temperature, average rainfall, road network density and population percentage.
Poisson global regression (GPR) and Poisson geographic weight regression (GWPR) were used to model the spatial distribution of industrial cattle farming. The mentioned models are performed in ArcGIS, GWR4 and the maps are prepared in the illustrator software.

Discussion and conclusion
This study aimed to model the spatial distribution of industrial cattle farming and its main determinants in the provinces of Iran. The results showed that the spatial and temporal distribution of industrial farms in the studied periods show little spatial and temporal variability. The results showed that the GWPR model has a better performance compared to the GPR model due to the fact that it shows the spatial variability of variables according to local conditions. The mean height showed a positive relationship. Active industrial farms are mainly concentrated in the central, southern and northeastern regions, where on the one hand it is far from mountainous and high areas and on the other hand the average temperature is high and the average rainfall is lower. But in local modeling, the relationships of these variables change according to local conditions and are not the same throughout the space. The results of this study show that the relationships between the distribution of industrial cattle farming and its determinants among the provinces of Iran both change in direction and intensity.

Saeid Nasiri Zare, Vahid Riahi,
Volume 12, Issue 43 (4-2023)
Abstract

Introduction
Publishing scientific papers is one of the most significant ways of sharing research outcomes. Experts and academics regularly publish their original studies and research in related fields through scientific publications. Scientific publications are now published in various fields worldwide, and their development requires meticulous and expert investigations. Scientometric studies are used as one of the scientific methods to examine the performance of scientific journals. Nowadays, scientific journals incorporate scientometrics in their daily decisions to investigate the influencing factors. Research with this approach to analyze The network of scientific cooperations and draw the topic of interesting articles in the scientific journal "Space Economy & Rural Development." Knowing the scientific collaborations and the topic of the articles can provide a comprehensive picture of the type of scientific activities of the journal authors and identify the research's strengths and weaknesses.

 Methodology
This research is a quantitative study using scientometric research methods. Theoretical literature was studied using library research methods to gather information for the study's applied purpose. All articles published in the Journal Space Economy & Rural Development are examined in the research. Therefore, the statistical population includes all the articles published in the Journal, compiled by the authors, and accepted by the reviewers between 2011 and 2019. To analyze the scientific cooperation of the authors, the "Network Density," "Degree Centrality," "Betweenness Centrality," "Eigenvector Centrality," and "Clustering Coefficient" have been used. In order to facilitate comprehension of the magazine articles and establish connections between them, a keyword system was employed. The authors of said articles crafted a comprehensive list of keywords in the initial phase. Subsequently, these keywords were subjected to scrutiny, editing, and culling of duplicates. This yielded a set of distinct keywords for use in lexical analysis. At this stage, keywords such as the names of provinces - cities, Theories - models, and general expressions that did not express a specific topic were removed. In the end, 40 keywords remained, which were used for the final analysis. In order to analyze and interpret the results, Ravar Matrix was used to prepare the self-interaction matrix and the co-occurrence of crucial words, the Ucinet program was used to analyze the studied indicators, and according to the limitations of this program, the Gephi program was used to draw graphs and networks.

Discussion and conclusion
Examining and evaluating scientific literature have long been viewed as important for shaping future policies of scientific journals, research planning, and informed decision-making. One effective approach to achieving this goal is by utilizing scientometric analysis methods. In the Journal of space economy and rural development, 364 articles have been published in 9 periods and 36 issues, and the authorship pattern of the authors has been the collaboration of three authors. Most of the journal "Space Economy & Rural Development " articles focus on "Economic Development." "Tourism" and "agriculture" are two central issues in this field, and researchers have investigated the dimensions and fields of development of these businesses in rural areas. However, the subject of interest is to do these articles in a coherent scientific network between authors and researchers. In such a way, more scientific cooperation among authors helps productivity, innovation, and exchange of information. In the Journal of Space Economy & Rural Development, the complete scientific cooperation network has not been formed because the authors are in different scientific fields. This issue has shown the primary attention of the magazine to the subject of the articles without paying attention to the authors. However, among the authors, Ghadiri Masom, Motiee Langroudi, and Riyahi have had the highest number of connections in the Journal's scientific cooperation network. These authors and Rezvani are the most crucial mediators in controlling and transmitting information in the Journal's scientific network.
On the other hand, most authors were from the University of Tehran, Kharazmi and Payam Noor of Tehran, who have less desire to cooperate in the scientific network of the magazine with other authors. However, in order to realize the scientific development of the Journal, the planners of the Journal can encourage the scientific perspective of the Journal by presenting clear goals and accepting novel topics that have been given less attention in the field of rural development. The use of editorial boards with different scientific fields (according to the scientific network of the Journal, which represents various scientific expertise in this field) can also contribute to the quality of presenting and publishing articles in the Journal.

 


Page 1 from 1     

© 2024 CC BY-NC 4.0 |

Designed & Developed by : Yektaweb