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The study focuses on climate change impacts and local adaptation strategies in the rural community of Rusizi district, Rwanda. Using remote sensing methods, Landsat TM 4-5 satellite images from 2005 and 2015, taken from eartexplorer.usgs.govs, were processed, analyzed and classified using ARC GIS 10.3 software. The interview, pre-survey and survey were supported by a questionnaire addressed to a representative sample of 106 subjects. The results were encoded using EXCEL 2010 software. However, SWOT (or MOFF) was used for qualitative data processing, and statistical data was processed using R 2.15.1 to compare mean frequencies, XLSTAT 2016 to separate mean frequencies at the 5% significance level, and PAST 3.14 to perform logistic regression of impacts and adaptations to climate change...

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786207141814
  • Indbinding:
  • Paperback
  • Sideantal:
  • 96
  • Udgivet:
  • 7. februar 2024
  • Størrelse:
  • 150x7x220 mm.
  • Vægt:
  • 161 g.
  • 2-3 uger.
  • 20. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af CLIMATE CHANGE IN RWANDA

The study focuses on climate change impacts and local adaptation strategies in the rural community of Rusizi district, Rwanda. Using remote sensing methods, Landsat TM 4-5 satellite images from 2005 and 2015, taken from eartexplorer.usgs.govs, were processed, analyzed and classified using ARC GIS 10.3 software. The interview, pre-survey and survey were supported by a questionnaire addressed to a representative sample of 106 subjects. The results were encoded using EXCEL 2010 software. However, SWOT (or MOFF) was used for qualitative data processing, and statistical data was processed using R 2.15.1 to compare mean frequencies, XLSTAT 2016 to separate mean frequencies at the 5% significance level, and PAST 3.14 to perform logistic regression of impacts and adaptations to climate change...

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