Amin tayyebi: Big Data and Land Use Change Scienceknowdiff
Ph.D.
University of California-Riverside, Center for Conservation Biology
1)Time: Tuesday, August 25, 2015, 15:30- 16:30
(1)Location: Amirkabir University of Technology, Department of Civil and Environmental Engineering
(2)Time: Wednesday, August 26, 2015, 14:00- 16:00
(2)Location: Department of Surveying Engineering, University of Tehran, N. Kargar St.
An overview of traditional spatial analysis tools, an intro to hadoop and other tools for analyzing terabytes or more of data, and then a primer with examples on combining the two with data pulled from the Twitter streaming API. Given at the O'Reilly Where 2.0 conference in March 2010.
Creating a Hydrological Network for the Yukon TerritorySafe Software
The Fisheries Information Summary System (FISS) is a Federal and Provincial geo-database that provides summary level, fish and fish habitat information for waterbodies throughout the province of British Columbia. Information is georeferenced using online digitizing tools and is linked to the BC 1:50,000 watershed atlas using a hierarchical watershed coding system. Using FME, a similar watershed atlas was created for the entire Yukon Territory at a fraction of the cost and time using the Horton Order transformer and other tools. The resulting intelligent hydrolgical network is now available for the Yukon through the Community Mapping Network at www.cmnbc.ca. We will describe some of the challenges encountered in the creation of the hydrological network and provide and overview of the new Yukon FISS system.
1. Huntington District
Land Cover Comparison Using GIS
…...and lots of SQL
Joe Trimboli, MS, CFM
Community Planner
Huntington District
17 August 2009
US Army Corps of Engineers
BUILDING STRONG®
2. Huntington District
Land Cover Comparison
Need for Comparison
Ohio River Basin Comprehensive Report Study
(ORBCRS)
www.orboutreach.com
4. Huntington District
Land Cover Comparison Goals
Identifies land use changes in the Ohio River
Basin
Incorporate map set into MapRecon portion of
study
Create access table that links to HUC8 watershed for
map creation
Create map for each land cover classification
5. Huntington District
Data
Sources
National Land Cover Datasets of 1992 and 2001
Downloaded from USGS
Used seamless server
Template Selection
Best meta data available
USGS Watershed Layer (CORPSMAP)
CorpsMap is the USACE nationwide enterprise GIS
implementation
Data source for many federal agencies
6. Huntington District
Data Preparation
Created mosaic raster layer using ArcMap 9.2 for
each data set, 1992 and 2001 (6 template areas)
Created raster of HUC8 watersheds
Insured all raster’s had same projection
Matched land cover projection
Converted HUC8 data to match land cover data
Insured all raster's had same cell size
Defined HUC8 raster layer to match land cover cell size
7. Huntington District
HUC8 raster
file
reprojected
and with
matching
cell size to
land cover
layers
8. Huntington District
Process Verification
Used various processes
Evaluated data numerous times
Different tools Different ways
Model Creation
Spatial Analyst Tools > Combine
9. Huntington District
Model
creation
proved to
be awkward
and time
consuming
based on
existing
knowledge
15. Huntington District
Microsoft Access (SQL)
Format of Personnel Geospatial Database
Manipulates tables
Ability to create and manipulate data
Non-spatial Tables
Creation custom queries
17. Huntington District
Land Cover Comparison Goals
Identifies land use changes in the Ohio River
Basin
Incorporate map set into MapRecon portion of
study
Create access table that links to HUC8 watershed for
map creation
Create map for each land cover classification
23. Huntington District
Cross walk tables
Create tables from original raster layer table and
corresponding USGS modified Anderson Level I
table information. Created new Description.
27. Huntington District
Class Table Importance
There must be the same number of classes in
each comparison year for a DIRECT comparison
Not an issue at the larger Ohio River Basin level
Not an issue at smaller area comparisons
Issue at the HUC8 scale of comparison
29. Huntington District
HUCAnderson with Combine1
Each HUC8 watershed with total Each Cell with HUC8 value code, and
cell count and new class original class codes of 1992 and 2001
codes land cover
30. Huntington District
Reclass Query Design
All like values are linked between
tables
53. Huntington District
Resulting Hypothesis
The land cover change from different sources is
outside the 9% standard distribution curve of the
percent change (location quotients) of the
watersheds. The 90% represents the difference
of equipment and seasonal variation.
54. Huntington District
Land Cover Comparison
1992 and 2001 land cover data was downloaded
from the USGS National Map Seamless Server
and reclassified based on the USGS Anderson
Level I cross walk table. Both layers were then
combined using ESRI ArcView and the
supporting tables exported to Microsoft Access.
The tables were then manipulated to extract the
location quotients (LQ) for each class and joined
based on HUC8 values. A HUC8 class table was
created that insured a direct comparison of 7
classes.
55. Huntington District
Poster
A poster was from ESRI ArcMap with charts
created in Microsoft Excel. Two large panels
represent the Anderson Level I classified land
cover for the project area. Small 7 map panels,
one for each land classification,were mapped
based on the standard deviation (StdDev) of the
location quotients calculated in Microsoft
Access. The StdDev values of the LQ’s within
the 95% range were then mapped hollow. The
charts reflect the raw LQ values crossing at the
value of one.
58. Huntington District
Internet Atlas
Ohio River Comprehensive Reconnaissance
Study (ORBCRS)
http://www.tinyurl.com/orbmaps
http://www.lrh.usace.army.mil/silver_jackets/ORB/thu
mb.html
http://www.lrh.usace.army.mil/silver_jackets/ORB/200
9HanoverLandCoverPoster2009.pdf