Creating Innovative Tools Using ArcGIS

Evan Girvetz The Nature Conservancy and

University of Washington

Creative Hats of Innovation

Creative Hats of Innovation

• Identifying relevant questions/applications

• Developing an analysis to address the question

• Creating tools to analyze, visualize and communicate

Creative Hats of Innovation

• Identifying relevant questions/applications

• Developing an analysis to address the question

• Creating tools to analyze, visualize and communicate

Creative Hats of Innovation

• Identifying relevant questions/applications

• Developing an analysis to address the question

• Creating tools to analyze, visualize and communicate

Yellow-billed Cuckoo (Coccyzus americanus)

Photo from: Arthur Morris

Spring Migration

• Migrate from South

America during March

• Arrive at Sacramento

River during late May.

© enature.com

Patch Delineation

Non-Suitable Land Cover Gap

Suitable Land Cover

Spur

Patch Delineation

Non-Suitable Land Cover Gap

Suitable Land Cover

Spur

PatchMorph Methods

PatchMorph

• Scientific publication:

– Girvetz & Greco 2007, Landscape Ecology

ArcScripts

• Download PatchMorph from ArcScripts:

– http://arcscripts.esri.com/details.asp?dbid=14977

• Search PatchMorph

• Many other useful tools and programming scripts can be downloaded from ArcScripts

Using PatchMorph for Restoration Planning Along the Sacramento River

Santa Monica Mountains

• Mountain Lion habitat connectivity

John Gallo, unpublished data

Mountain Lion Habitat Suitability

Mountain Lion Habitat Suitability

Low Spur High

Gap

High

Low

Top 75% of Suitability Values

Core Area Patch Likelihood

Core Area Patch Likelihood

Mountain Lion Corridor Linkage Analysis

Mountain Lion Corridor Linkage Analysis

ClimateWizard: Practical Climate Analysis

Evan Girvetz, University of Washington

Chris Zganjar, The Nature Conservancy

George Raber, University of Southern Mississippi

Jonathan Hoekstra, The Nature Conservancy

Peter Kareiva, The Nature Conservancy

Josh Lawler, University of Washington

• Climate change is occurring

• Decisions are being made about how and where to respond

• Data are available, but often inaccessible

Climate Does Not Change the

Same Everywhere

Climate does not change the same everywhere

Mean Temperature Change 1951 - 2002

Climate Wizard analysis (Girvetz et al.2009), using CRU 0.5 degree global climate data (Mitchell & Jones 2005)

June - August

September - November December - February

March - May

ClimateWizard analysis (Girvetz et al.2009), using CRU 0.5 degree global climate data (Mitchell & Jones 2005)

Climate Changes Seasonally 1951-2002

Climate Changes Differently in

Different Months

Winter (north) Summer (south)

1951-2002

ClimateWizard analysis (Girvetz et al.2009), using CRU 0.5 degree global climate data (Mitchell & Jones 2005)

1901 – 2002 Temperature Trend

0.7 oC/century

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

1941 – 2002 Temperature Trend

1.1 oC/century

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

1951 – 2002 Temperature Trend

1.6 oC/century

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

1961 – 2002 Temperature Trend

2.2 oC/century

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

3.1oC/century

1971 – 2002 Temperature Trend

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

3.1oC/century

2.2oC/century

1.6 oC/century

1.1 oC/century

0.7 oC/century

Depending on the time frame temperature trend ranges from

0.7 to 3.1 oC/century

Climate Trend Analysis

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

Climate Wizard analysis (Girvetz et al.2009), using CRU TS 2.1 0.5 degree global climate data (Mitchell & Jones 2005)

Need for Practical Climate Analysis

• Scientists, managers, and planners (i.e.

practitioners) need to know how climate has and

will change

• Climate change data and analyses are

not readily accessible to practitioners

Need for Climate Toolbox

• Toolbox is needed to:

–Answer relevant questions

–Provide useful products

• maps, graphs, tables,

GIS layers

Climate Wizard

• Want to communicate climate change within:

– Geographic areas (globally, regionally, locally)

– Time domains (months, seasons, annually)

– Time periods (historic, future)

– Climate Variables (temperature, precipitation)

http://ClimateWizard.org

Different Tools for Different People

Level 1 Level 2

Level 3

Future Climate Projections

• 16 General circulation models (GCMs)

• 3 greenhouse-gas emissions scenarios

– A2 (higher), A1B (middle), B1 (lower)

Meehl et al.

Science 2005

48 projections US (lower 48 states only)

12 km resolution (data statistically downscaled by Maurer et al, 2007)

ArcGIS Server

• Web mapping services

– SOAP, REST

– KML, WMS/WFS

• Can serve data to map applications for multiple types of clients

– Web browser

– Desktop

– Mobile

Future is Here Today: The Cloud

FromESRI.com

Cloud Computing

• Amazon Web Services – S3: Mass storage on the Cloud – EC2: Elastic Computing on the Cloud

• Benefits of Cloud Computing – Cost effective – Dependable – Flexible – Comprehensive

You Can Do It with ModelBuilder!

PatchMorph Methods

Build a Custom Model

Creative Hats of Innovation

• Identifying relevant questions/applications

• Developing an analysis to address the question

• Creating tools to analyze, visualize and communicate

Evan Girvetz: girvetz@u.washington.edu