Mapping and Visualization of the Distribution of Scientific Wealth in Iran

This research addresses the issues of measuring the geographic distribution of scientific wealth in Iranian provinces. It focuses on mapping and visualization of scientific production and use in the country. The share of each province in the national scientific wealth of Iran has been measured throu...

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Main Authors: Saeid Asadi, Ammar Jalalimanesh
Format: Article
Language:fas
Published: Iranian Research Institute for Information and Technology 2014-02-01
Series:Iranian Journal of Information Processing & Management
Online Access:http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2137-13&slc_lang=en&sid=1
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spelling doaj-b13f9eeb125e4c228e7014a09de6aa0f2020-11-24T21:05:13ZfasIranian Research Institute for Information and TechnologyIranian Journal of Information Processing & Management2251-82232251-82312014-02-01284917943Mapping and Visualization of the Distribution of Scientific Wealth in IranSaeid Asadi0Ammar Jalalimanesh1 This research addresses the issues of measuring the geographic distribution of scientific wealth in Iranian provinces. It focuses on mapping and visualization of scientific production and use in the country. The share of each province in the national scientific wealth of Iran has been measured through counting the documents indexed and retrieved from IRANDOC bibliographic databases. The seven specialized databases of IRANDOC include journal articles, conference articles, theses, governmental reports and so on consisting over half a million bibliographic records. Dividing the provinces in three classes of poor, average and rich according to their contribution in Iranian scientific wealth, Tehran and Isfahan provinces were tagged as the richest. A comprehensive description on developing a GIS model to visualize the distribution of scientific wealth in Iran is given in the paper and results are interpreted. In each case, the search results have analyzed more via a post-query spatial analysis for extraction of locations and comparing the extracted locations with a national gazetteer in order to find the proper province(s) for each single retrieved record. Using an interactive map, the share of each province in the retrieved results was illustrated on map and compared with the other provinces. It has been noticed that a combination of online or offline interactive maps e.g. Google Maps and Google Earth and geographically tagged bibliographic data can result in a location-aware search and retrieval tool where in-depth analysis of search results will be possible. The outcomes of this research can be used in planning for sustainable and balanced development of the country.http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2137-13&slc_lang=en&sid=1
collection DOAJ
language fas
format Article
sources DOAJ
author Saeid Asadi
Ammar Jalalimanesh
spellingShingle Saeid Asadi
Ammar Jalalimanesh
Mapping and Visualization of the Distribution of Scientific Wealth in Iran
Iranian Journal of Information Processing & Management
author_facet Saeid Asadi
Ammar Jalalimanesh
author_sort Saeid Asadi
title Mapping and Visualization of the Distribution of Scientific Wealth in Iran
title_short Mapping and Visualization of the Distribution of Scientific Wealth in Iran
title_full Mapping and Visualization of the Distribution of Scientific Wealth in Iran
title_fullStr Mapping and Visualization of the Distribution of Scientific Wealth in Iran
title_full_unstemmed Mapping and Visualization of the Distribution of Scientific Wealth in Iran
title_sort mapping and visualization of the distribution of scientific wealth in iran
publisher Iranian Research Institute for Information and Technology
series Iranian Journal of Information Processing & Management
issn 2251-8223
2251-8231
publishDate 2014-02-01
description This research addresses the issues of measuring the geographic distribution of scientific wealth in Iranian provinces. It focuses on mapping and visualization of scientific production and use in the country. The share of each province in the national scientific wealth of Iran has been measured through counting the documents indexed and retrieved from IRANDOC bibliographic databases. The seven specialized databases of IRANDOC include journal articles, conference articles, theses, governmental reports and so on consisting over half a million bibliographic records. Dividing the provinces in three classes of poor, average and rich according to their contribution in Iranian scientific wealth, Tehran and Isfahan provinces were tagged as the richest. A comprehensive description on developing a GIS model to visualize the distribution of scientific wealth in Iran is given in the paper and results are interpreted. In each case, the search results have analyzed more via a post-query spatial analysis for extraction of locations and comparing the extracted locations with a national gazetteer in order to find the proper province(s) for each single retrieved record. Using an interactive map, the share of each province in the retrieved results was illustrated on map and compared with the other provinces. It has been noticed that a combination of online or offline interactive maps e.g. Google Maps and Google Earth and geographically tagged bibliographic data can result in a location-aware search and retrieval tool where in-depth analysis of search results will be possible. The outcomes of this research can be used in planning for sustainable and balanced development of the country.
url http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2137-13&slc_lang=en&sid=1
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