Emerging Hot Spot Analysis • Using Esri Space Time Mining Toolbox to analyze 14 years of deforestation data • Collaboration with The World Resources Institute • Publication on methods and results in IOP Science: Environmental Research Letters • http://bit.ly/2k9gq7r
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Emerging Hot Spot Analysis
• Using Esri Space Time Mining Toolbox to analyze 14 years of deforestation data
• Collaboration with The World Resources Institute
• Publication on methods and results in IOP Science: Environmental Research Letters• http://bit.ly/2k9gq7r
The Data:Global Forest Cover Loss (2001-2014)
Source: Hansen/UMD/Google/USGS/NASA
Global Map of Forest Loss Data
504 10° x 10° Granules
How Did We Do It?
Raw Data Big Data Analysis
GIS Analysis
Symbolization / Sharing
What is Emerging Hot Spot Analysis?
• Finding trends by analyzing space (xy) and time (t)• Minimum 10 observations (time
step intervals)
• Getis-Ord Gi* determines if a bin is a statistically significant hot or cold spot
• Mann-Kendall trend test evaluates hot and cold spots through time to produce categories such as Intensifying, Diminishing or New hot spot
What Do The Results Look Like?
Symbolizing a Forest-Loss Narrative
Creating a scalable workflow
I N D O N E S I A
Brazil DRC Indonesia
Batch runs using Python
National Level Analysis (Default Symbology)
National Level Analysis (Less Categories, Updated Symbology)
Sub-National Level Analysis
National Level vs Sub-National Analysis (Brazil)
Thank you!
Learn more at: www.blueraster.com
Related Documents
