Autor: Guellouh, Sami - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Site selection for future industrial infrastructure in the province of Constantine (Algeria)
Autorzy:: Sami, Guellouh
Mahdi, Kalla
Abdelwahhab, Filali
Yahyaoui, Habibi
Powiązania:: https://bibliotekanauki.pl/articles/1396716.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:: Constantine
GIS
industrial zone
factor
remote sensing
selection of sites
strefa przemysłowa
czynnik
teledetekcja
Opis:: The aim of this study is to select the appropriate sites for the designation of future industrial zones in the province of Constantine, Algeria, using a geographic information system (GIS) and Remote Sensing, including the appropriate technical and environmental requirements. The identification of appropriate sites for the establishment of new industrial zones in alignment with a planning process based on a set of socio-economic and environmental information and instructions has become a key problem for planners. The factors involved in the selection of sites are classified into two categories (exclusion factors and appreciation factors) to be able to identify the most appropriate areas for future industrial facilities in the province in question.
Źródło:: Geomatics, Landmanagement and Landscape; 2020, 1; 23-32
2300-1496
Pojawia się w:: Geomatics, Landmanagement and Landscape
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Analysis of social resilience to the novel coronavirus (COVID-19) in Algeria
Autorzy:: Habibi, Yahyaoui
Guellouh, Sami
Filali, Abdelwahhab
Berchiche, Razika
Powiązania:: https://bibliotekanauki.pl/articles/1429588.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:: WHO
GIS
coronavirus
Algeria
COVID-19
social resilience
koronawirus
Algieria
odporność społeczna
Opis:: This paper is an attempt to understand and overcome the peculiarity of the novel Coronavirus (Covid-19), described as a pandemic by the World Health Organization. Covid-19 is spreading around the world, and particularly in Algeria, which announced the identification of the first case on the 26 February 2020. The number of confirmed cases is increasing day by day. Currently, we experience the spread of the word “resilience” in most diverse research areas and policy fields of modern society. Social resilience is the capacity of a social entity to proactively adapt to and recover from disturbances that are perceived within the social entity to fall outside the range of normal; this includes expected and unexpected disturbances. The main objective of this study is to contribute towards connecting the socio-economic vectors of this pandemic, and to integrate them into the GIS (Geographic Information System), in order to analyze the level of social resilience in Algeria. The analysis adopted the method known as the Hierarchical multi-criteria analysis (AHP), which defines the relative importance of each characteristics. The findings of our research show that the factors of high unemployment and housing occupancy rates, high population density and the share of citizens aged over 60 directly influence the reduction in the level of social resilience to the novel coronavirus.
Źródło:: Geomatics, Landmanagement and Landscape; 2020, 3; 19-29
2300-1496
Pojawia się w:: Geomatics, Landmanagement and Landscape
Dostawca treści:: Biblioteka Nauki

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