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Calibrating, validating, and forecasting with the SLEUTH urban growth model in the Baltimore metropolitan area Claire A. Jantz and Scott A. Drzyzga, and Michael Maret Shippensburg University ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !!! ! ! ! ! ! ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! W ashington,D C Baltim ore
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Research objectives

Jan 11, 2016

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Calibrating, validating, and forecasting with the SLEUTH urban growth model in the Baltimore metropolitan area Claire A. Jantz and Scott A. Drzyzga, and Michael Maret Shippensburg University. Research objectives. Generate forecasts of urban growth in the BMR - PowerPoint PPT Presentation
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Page 1: Research objectives

Calibrating, validating, and forecasting with the SLEUTH urban growth model in the Baltimore metropolitan area

Claire A. Jantz and Scott A. Drzyzga, and Michael MaretShippensburg University

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Washington, DC

Baltimore

Page 2: Research objectives

Research objectives

Generate forecasts of urban growth in the BMRo Incorporate “drivers”

of urbanizationo Loosely couple with

hydrologic model to capture human-environmental feedbacks

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Washington, DC

BaltimoreCNH: Dynamic Coupling of the

Water Cycle and Patterns of Urban GrowthNSF award ID

0709537

Page 3: Research objectives

How SLEUTH works

Calibration

1984

Irani, F.M. and P.R. Claggett, P.R. (2010) Chesapeake Bay watershed land cover data series: U.S. Geological Survey Data Series 2010-505

Page 4: Research objectives

How SLEUTH works

Calibration

19841992

Irani, F.M. and P.R. Claggett, P.R. (2010) Chesapeake Bay watershed land cover data series: U.S. Geological Survey Data Series 2010-505

Page 5: Research objectives

How SLEUTH works

Calibration

198419922001

Forecasting

Irani, F.M. and P.R. Claggett, P.R. (2010) Chesapeake Bay watershed land cover data series: U.S. Geological Survey Data Series 2010-505

Page 6: Research objectives

How SLEUTH works

Calibration

Forecasting

Validation

1984199220012006

Irani, F.M. and P.R. Claggett, P.R. (2010) Chesapeake Bay watershed land cover data series: U.S. Geological Survey Data Series 2010-505

Page 7: Research objectives

Research Design

Base Sewer service areas

Pop + Emp for

RPDsUnconstrai

ned- - -

Constrained with Pop

+ Emp forecasts

MIN MIN MIN

SQ SQ SQ

MAX MAX MAX

Assessing urbanization “drivers” with the exclusion

layer

Ass

ess

ing

gro

wth

rate

s

Page 8: Research objectives

SLEUTH’s exclusion layers

Page 9: Research objectives

Validation (unconstrained)

1,100

1,150

1,200

1,250

1,300

1,350

1,400

1980 1985 1990 1995 2000 2005 2010

Urb

an a

rea

(km

2 )

Year

Mapped

Base-unconstrained

Sewer-unconstrained

RPD-unconstrainedSLEUTH’s boom and bust coefficients remain unadjusted

Page 10: Research objectives

Validation (unconstrained)

Page 11: Research objectives

But the future is expected to be different from the past

Baltimore Metropolitan Council - Cooperative Forecasting Group. Round 7-B population and employment forecasts.

Page 12: Research objectives

8,0001,000

1008060

40

20

06,4001,000 13,0001,000

Perc

ent

of

Lan

d a

s U

rban

Population Intensity(residents/km2)

Employment Intensity (jobs/km2)

Human Intensity (humans/km2)

Baltimore Metropolitan Council - Cooperative Forecasting Group. Round 7-B population and employment forecasts.

Page 13: Research objectives

Validation (constrained)

1,100

1,150

1,200

1,250

1,300

1,350

1,400

1980 1985 1990 1995 2000 2005 2010

Urb

an a

rea

(km

2 )

Year

Mapped

RPD-Min

RPD-Status quo

RPD-MaxAdjust SLEUTH’s boom and bust coefficients

Page 14: Research objectives

Validation (constrained)

Page 15: Research objectives

Validation (constrained)

Page 16: Research objectives

Constraining the forecasts

Baltimore Metropolitan Council - Cooperative Forecasting Group. Round 7-B population and employment forecasts.

Page 17: Research objectives

Constraining the forecasts

1,100

1,150

1,200

1,250

1,300

1,350

1,400

Urb

an a

rea

(km

2 )

Year

RPD-Min

RPD-Status quo

RPD-Max

Adjust SLEUTH’s boom and bust coefficients

Page 18: Research objectives

Constraining the forecasts

Page 19: Research objectives

Conclusions and lessons learned

SLEUTH’s calibration process can be used to evaluate “drivers” of urbanization

Validation is critical for:o Improving our understanding of how the

urban system behavesoQuantifying model uncertaintyo Incorporating additional models to

inform SLEUTH’s forecasts

Page 20: Research objectives

References Baltimore Metropolitan Council - Cooperative Forecasting Group.

Round 7-B population and employment forecasts. Irani, F.M. and P.R. Claggett, P.R. (2010) Chesapeake Bay watershed

land cover data series: U.S. Geological Survey Data Series 2010-505 Jantz, C.A., S.J. Goetz, P. Claggett, and D. Donato (2010). Modeling

regional patterns of urbanization in the Chesapeake Bay Watershed. Computers, Environment and Urban Systems 34:1-16.

Maret, Michael (2011). Using the SLEUTH urban growth model to identify "drivers" of land use change in the Baltimore metropolitan region. Geoenvironmental research. Student white paper published at http://webspace.ship.edu/cajant/student_white_papers.html

McConnell, W.J at al. (2011). Research on Coupled Human and Natural Systems (CHANS): Approach, Challenges, and Strategies. Bulletin of the Ecological Society of America 92 (2): 218-228

THANK YOU

Page 21: Research objectives

Claire Welty (PI), Andrew Miller, Bernadette Hanlon, and Michael P. McGuire

Claire Jantz (PI) and Scott A. Drzyzgawith Michael Maret.

Reed Maxwell (PI)

James Smith (PI)Mary Lynn Baeck Gary Fisher

CNH: Dynamic Coupling of the Water Cycle and Patterns of Urban

Growth

NSF award ID0709537