Using big data analysis and ESRI's emerging hot spots analysis tool to look at deforestation through space and time

1. 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

2. The Data:
Global Forest Cover Loss (2001-2014)
Source: Hansen/UMD/Google/USGS/NASA

3. Global Map of Forest Loss Data
504 10° x 10° Granules

4. How Did We Do It?
Raw Data Big Data
Analysis
GIS
Analysis
Symbolization
/ Sharing

5. 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

6. What Do The
Results Look Like?

7. Symbolizing a Forest-
Loss Narrative

8. Creating a scalable workflow
I N D O N E S I A
Brazil DRC Indonesia

9. Batch runs using Python

10. National Level Analysis
(Default Symbology)

11. National Level Analysis
(Less Categories, Updated Symbology)

12. Sub-National Level Analysis

13. National Level vs Sub-National Analysis
(Brazil)

14. Thank
you!
Learn more at: www.blueraster.com