scholarly journals Spatial-Temporal Analysis of Territorial Transformations in the State of Sinaloa Mexico Using Geographic Information Systems

2017 ◽  
Vol 08 (02) ◽  
pp. 171-182
Author(s):  
Wenseslao Plata Rocha ◽  
Gabriela Corrales Barraza ◽  
Geovanna Guadalupe Hinojoza Castro ◽  
Sergio Alberto Monjardin Armenta ◽  
Jose Carlos Beltrán González ◽  
...  
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Temporal Analysis ◽  
Geographic Information ◽  
The State ◽  
Spatial Temporal Analysis

scholarly journals Global network of underground research – Literature metadata analysis by Geographic Information Systems (GIS)

2020 ◽  
Author(s):  
Ossi Kotavaara ◽  
Jari Joutsenvaara ◽  
Eija-Riitta Niinikoski ◽  
Pertti Martinmäki ◽  
Ursula Heinikoski
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Temporal Analysis ◽  
Study Groups ◽  
Geographic Information ◽  
Global Network ◽  
Vast Number ◽  
Research Fields ◽  
Metadata Analysis ◽  
The Baltic

<p>Globally there are various underground facilities or laboratories, which are commonly located in active or closed mines, in tunnel systems or they are built for this specific purpose. There are also a vast number of study groups and researches within several disciplines utilising resources of these facilities. The Baltic Sea Underground Innovation Network (BSUIN) develops six such facilities, all having unique characteristics and operational settings. In developing underground laboratories, understanding characteristics, needs and accessibility of research communities applying these facilities is crucial. Aim of this study is to product new knowledge in this field, by analysing research published by this community. Geographic information systems (GIS) is applied to scrutinise the metadata of scientific literature databases. There is a great deal of published research having connection to underground facilities. For example, between years 2009-2018, Scopus database covers over 13,000 articles by over 40,000 authors. Preliminary analysis indicates that a wide variety of disciplines, such as engineering, earth and planet sciences, environmental sciences, physics and astronomy, as well as energy, material, computer and social sciences, are active within underground themes. In the analysis, publication specific data are compiled from literature databases, research units located globally by geocoding and data is organised for geographic and temporal analysis. By discipline information and indexed research fields and themes, patterns of global research trends within underground studies are explored. Results will indicate how distribution of study fields is organised, visualise the strength and activity of different disciplines and show the key temporal elements in development of research. This data enables also to extend the analysis to cover also the networked characteristics of research and researchers within underground laboratories.</p>

scholarly journals Public health monitoring using Geographic Information Systems: case viral hepatitis E

2021 ◽  
Vol 319 ◽  
pp. 01083
Author(s):  
El Omari Hajar ◽  
Abdelkader Chahlaoui ◽  
Ouarrak Khadija ◽  
Adel Kharroubi
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
High Risk ◽  
Viral Hepatitis ◽  
Temporal Analysis ◽  
Hepatitis E ◽  
Geographic Information ◽  
Average Risk ◽  
Health Events ◽  
Spatio Temporal

Among the major parasitic diseases having major health and socio-economic impacts in the world and in Morocco, are viral hepatitis. These are acute inflammations of the liver caused by a virus. The 3 most frequently encountered viruses are viruses A, B, C. The objective of this study is to map health events, in our case the incidence of viral hepatitis E in the different prefectures of the region of Meknes-Fez by creating a database containing geographic and health parameters in geographic information system (GIS). This database was then used to create the risk map which identifies the high-risk prefectures. This study shows that the average incidence of viral hepatitis H is higher in the prefecture of Meknes during all the years of the study, with a high risk compared to other prefectures and provinces which have an average risk. Indeed, the mapping of health events is a descriptive tool implemented to evaluate the spatial disparities of incidence, which allowed us to perform a spatio-temporal analysis of the epidemic. Spatial technologies, such as geographic information systems (GIS), offer a new option for disease prevention, predicting risk locations based on factors favoring the emergence or re-emergence of the epidemic.

scholarly journals Zoning for exploration of wind energy in Ceará with the use of geographic information systems (GIS) and multicriteria analysis

2020 ◽  
Vol 9 (7) ◽  
pp. e455973809
Author(s):  
Daniela Cadore Vale ◽  
Renato Sipelli Silva ◽  
Erika da Justa Teixeira Rocha ◽  
Auzuir Ripardo de Alexandria
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Wind Energy ◽  
Fossil Fuels ◽  
Multicriteria Analysis ◽  
Wind Farms ◽  
Geographic Information ◽  
The State ◽  
Gis Tools ◽  
The World

Wind energy has many advantages compared to traditional energies, from the ability to reduce the use of fossil fuels as well as the possibility of creating jobs in the areas where the projects are installed. The growth of this type of generation in Brazil has been driven by strong investor interest due to the characteristics of the country's winds, mainly from the Northeast. The winds are strong, stable and most of the time follow the same direction, characteristics that make windfarms in the Northeast region have high levels of capacity factor. By evaluating the data from the wind farms installed in Ceará, it can be observed that they present one of the best capacity factors in Brazil and have values above the world average. This indicates and reinforces the viability of implementing this type of energy generation in the area. It was verified that there are studies about wind conditions but there are no studies that correlate this information with the infrastructure conditions of the State. Therefore, the objective of the present work is to identify the appropriate areas for the allocation and use of wind energy in the State of Ceará through the integration of Geographic Information Systems (GIS) tools and multicriteria analysis for decision making.

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