bermvis : a rich internet application for coastal monitoring
DESCRIPTION
Quaye Trimble Penn State University Master of Geographic Information Systems Frank Hardisty Capstone Advisor Penn State University. BERMVis : A Rich Internet Application for Coastal Monitoring. Project Objectives Background and Significance Design and Methods Timelime - PowerPoint PPT PresentationTRANSCRIPT
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BERMVis: A Rich Internet
Application for Coastal Monitoring
Quaye Trimble
Penn State UniversityMaster of Geographic Information Systems
Frank HardistyCapstone Advisor
Penn State University
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Presentation Overview
● Project Objectives● Background and Significance● Design and Methods● Timelime● Results/Next Steps● Challenges
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Project Objectives
Determine the feasibility of and prospects for using a Rich Internet Application (RIA) to:● Disseminate Coastal Information● Expose Analysis Capabilities
Project Objectives
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The Grand Strand
Background and Significance
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The Grand Strand
Background and Significance
● 60 miles of coastline● 215 days of sunshine● 102 golf courses● Outlet Malls, Shops,
Theaters, Nightclubs● 14.6 Million
S.C. Parks, Recreation & Tourism Dept
S.C. Climatology Department
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● Local Awareness● Unique System
Why is this project important?
Background and Significance
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Why is this project important?
(current work flow)
Background and Significance
REPORTING
ANALYSIS
DATA COLLECTION
DECNOVOCTSEPAUGJULJUNMAYAPRMARFEBJAN
TIME
TIME
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Why is this project important?
(work flow with RIA)
Background and Significance
TIME
TIME
ANALYSIS/REPORTING
DATA COLLECTION
DECNOVOCTSEPAUGJULJUNMAYAPRMARFEBJAN
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Why a Rich Internet Application?
● Internet 2nd to TV for news (Pew Research Center, 2008)
● Technology has matured
Background and Significance
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Project Objectives
Determine the feasibility of and prospects for using a Rich Internet Application (RIA) to:● Disseminate Coastal Information● Expose Analysis Capabilities
Project Objectives
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Research Questions
Which characteristics?
Which analysis?
What data?
Can it be done?
Design and Methods
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Research Question #1
What coastal characteristics are of the greatest interest to stakeholders?
● Processes of Accretion● Processes of Erosion
Design and Methods
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Research Question #2
What analysis can be done?● Shoreline Change● Beach Volume Change
Design and Methods
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Research Question #3
What data is available in support of questions 1 & 2?
● Annual Beach Profiles● Coastal Lidar● Aerial Photography● Beach Cameras
● Meteorological/Ocean-ographic Data
● Baseline Shoreline● Monthly Shorelines● Beach Benchmarks
Design and Methods
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Functionality
● "jump" to spatial extent of features● Display meteorological/oceanographic data● Display digital time-lapse images of key
locations● Perform shoreline rate-of-change analysis● Approximate vegetation density● Calculate volumetric change rates
Design and Methods
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Shoreline Change Rate: Transects
Design and Methods
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Shoreline Change Rate: Transects
Design and Methods
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Shoreline Change Rate: Distance
Design and Methods
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Shoreline Change Rate: Distance
Design and Methods
10.3 m15.2 m16.9 m
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Shoreline Change Rate: Statistics
Design and Methods
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Shoreline Change Rate: UI
Design and Methods
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Shoreline Change Rate: UI
Design and Methods
23 24 26 27 2825
Transect ID
Rate
of C
hang
e (m
/yr)
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Shoreline Change Rate: UI
Design and Methods
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Software/Database Components● Python and ESRI's geoprocessor, version 9.3● ArcGIS Server API for Flex, version 1.3● Microsoft SQL Server 2000/ArcSDE● SDS compliant (version 2.6) ESRI Geodatabase
Design and Methods
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System Components
Design and Methods
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Timeline
Timeline
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Results/Next Steps
● Problem/Analysis/Data● Functionality● Geoprocessing - 80%
Complete
● Statistical Analysis (NumPy)
● Chain into Single Model (Model Builder)
● Widget Development (Sample Flex Viewer)
● Testing, Testing and More Testing
Results/Next Steps
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Research Question #4
Can a robust custom geoprocessing task be performed through a RIA?
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Challenges
● Learning Curve● Project Timeline
Challenges
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Sterling Quinn – Penn State World CampusClayton McCoy – SC Sea Grant Extension ProgramFrank Hardisty – Penn State World CampusGerry Gabrisch – ArcScripts ContributorDan Patterson – ArcScripts Contributor
Acknowledgments
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The Digital Shoreline Analysis System (DSAS) version 4.0
http://woodshole.er.usgs.gov/project-pages/dsas/version4/index.html
The South Carolina Department of Parks, Recreation & Tourism website
http://www.discoversouthcarolina.com/see-do/islands-coast/myrtle-beach-grand-strand.aspx
South Carolina Code of Laws – Beach Front Management Act
http://www.scdhec.gov/environment/ocrm/science/docs/SCAC/SC Code of Laws_Beachfront Management Act.pdf
National Ocean Service - Coastal Trends Report Series
http://oceanservice.noaa.gov/programs/mb/pdfs/coastal_pop_trends_complete.pdf
Pew Research Center for the People & the Press
http://people-press.org/report/479/internet-overtakes-newspapers-as-news-source
2007 – 2008 Grand Strand Beach Nourishment Study, Year 1 Report
https://bcmw.coastal.edu/sites/default/files/GSRY1_Report.pdf
Sources Cited