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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study
ترجمه فارسی عنوان مقاله:
استفاده از سنجش از دور و داده های بزرگ برای اندازه گیری شدت جنگ: بهار عربی به عنوان مورد مطالعه
منبع:
Sciencedirect - Elsevier - Applied Geography, 94 (2018) 1-17: doi:10:1016/j:apgeog:2018:03:001
نویسنده:
Noam Levina,b,∗, Saleem Alic,d, David Crandalle
چکیده انگلیسی:
Tracking global and regional conflict zones requires spatially explicit information in near real-time. Here, we
examined the potential of remote sensing time-series data (night lights) and big data (data mining of news events
and Flickr photos) for monitoring and understanding crisis development and refugee flows. We used the recent
Arab Spring as a case study, and examined temporal trends in monthly time series of variables which we hy
pothesized to indicate conflict intensity, covering all Arab countries. Both Flickr photos and night-time lights
proved as sensitive indicators for loss of economic and human capital, and news items from the Global Data on
Events, Location and Tone (GDELT) project on fight events were positively correlated with actual deaths from
conflicts. We propose that big data and remote sensing datasets have potential to provide disaggregated and
timely data on conflicts where official statistics are lacking, offering an effective approach for monitoring
geopolitical and environmental changes on Earth.
قیمت: رایگان
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