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