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Data Management Brown Bag: Geographic Information Systems (GIS) Data A.K.A Spatial Data Joe Aufmuth GIS Librarian [email protected] 273-0367
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Page 1: Data Management Brown Bag: Geographic Information Systems ...ufdcimages.uflib.ufl.edu/AA/00/01/32/27/00001/data_management... · Data Management Brown Bag: Geographic Information

Data Management Brown Bag:

Geographic Information

Systems (GIS) Data

A.K.A Spatial Data

Joe Aufmuth

GIS Librarian

[email protected]

273-0367

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Today’s Focus

• An overview of GIS: definition, principals,

data types, and ArcGIS

• Spatial Data Source Limitations

• Is GIS the Correct Research Tool?

• Spatial Data Sources

• Summary of Spatial Data Users @ UF

Soil Information System of Thailand

http://www.mcc.cmu.ac.th/research/DSSARM/SoilSys/soilsys.html

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GIS Models The Real World

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GIS: A Definition

A Geographic Information System, or GIS is

composed of computer hardware, software,

geographically referenced digital data (spatial

data), and people (data accuracy and bias).

A GIS is used to collect, store, update, manipulate,

analyze, and display all forms of geographic

information.

A GIS models or represents geographic features and

can measure or predict their interactions.

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Multiple Data Layers

Where it is (position)

What it is (description)

When it was there (time)

Quantity, Proximity

Spatial Analysis

How Features interact

“What if..” Predictions ESRI

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Principal GIS Concepts

• A data model (geo-database) that uses location and description to mimic the “real” world. (also temporal)

• Spatial information (X,Y,Z elevation) about three vector feature classes (POINTS, LINES, POLYGONS) and a linked tabular database of their multiple attributes or descriptions (grid cells have a singular attribute).

• ***Common reference system for all layers used in the GIS. PROJECTION, DATUM (horizontal and vertical), SPHEROID and UNITS (Lat/Long = spherical coordinate system, not suitable for analysis)

• Facilitates overlay of multiple layers to create and analyze new temporal and spatial relationships between features

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Two Spatial Data Formats

Vector Raster Points, Lines, and Polygons Grid Cells (Pixels)

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Visualize the World

Three Vector Feature Classes:

Points, Lines, and Polygons

• Point: A discrete or single location with no discernible area at a specified scale.

• Line/Arc: A set of ordered coordinates (x,y) that when connected represent the linear shape of a narrow object.

• Polygon (area): A closed figure composed of lines that enclose a homogeneous area.

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Vector Data

Polygon

To Node

Vertex

Line (Arc)

From Node

Point

No Area

No Area

Area

Homogeneous

Left

Right

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Tabular Data

Columns = Fields = Items = Attribute = Description

Rows

= Records

= Features

Data (text, number, date)

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Grid/Raster/Imagery Data (Greater Data Variability based on Cell Size)

# Rows

# Columns Numeric Cell Value 1 value per cell

Examples

elevation, land use, flow

rate, drainage direction,

temperature, salinity,

reflectance, etc…

Gradients and Variable

Data

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ArcGIS Software:

ArcMap Program

ArcMap uses vector data in a special format

called a “SHAPEFILE”.

A single shapefile layer contains either

points, or lines, or polygons.

A shapefile is composed of several

individual files that include vector data, a

relational database, coordinate

projection, data index, etc.

ArcGIS is no longer paid for by the Provost

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A Shapefile and It’s Attribute Table:

A Map of Countries:

- One polygon file

- Each country is one feature

- Data display is not a map

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GPS Table – GIS Import

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Typical Data Layers

• Administrative and

Political Boundaries

• Cities

• Historic Sites Inventory

• Land Cover and Use

• Imagery (Satellite and

Aerials)

• Soils

• Hydrology

• Census

• Roads

• Railroads

• Elevation

• Fire Hydrants

• Township, Range and

Section

• Species Distributions

• Property Boundaries

• All in a Common

Coordinate System

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Source Data Limitations

• Different Purposes, Sources, and Reliability of Digital Spatial Data (digital = accurate)

– Federal, State, Local, Private

– QA/QC of All Data (positional and attribute accuracy)

• Different Coordinate Systems (Geographic vs Projected)

– Latitude/Longitude – Global/Spherical Reference System

– Projection – Plane/Surface Grid Coordinate System

– Every Layer Must Share a Common Projected Coordinate System for Analysis

• Different Digital Data Collection Scales and Uses – Small Scale / Large Area – Regional Analysis (1:100,000)

– Large Scale / Small Area – Local Analysis (1:24,000)

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Source Data Limitations

• Representing a particular real world location with a point, line, or polygon is scale dependent.

• At small scales (1:500,000) areas become a single line or point (generalized features/low resolution).

• At large scales (1:2000) lines and points may have area (detailed/higher resolution).

• Usable data scale = Data source scale or smaller. – GPS data = 1:1

vs

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The Appropriate Research Tool?

• Is the research question a spatial problem?

• What research data is needed and how can GIS be

used to obtain it? Are spatial operations involved?

(clip, buffer, union, intersect, identity, etc..)

• What level of spatial resolution/scale and

positional accuracy is required?

• Does needed spatial data exist or does it have to be

created? Is descriptive tabular data available?

• Can detailed descriptive tabular data be joined to

spatial data at the current data resolution/scale?

• Is it easier to make a graphic or map in another

program? I need a pretty map!

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Spatial Data Sources

• GOOGLE Search Terms

• GIS Data Clearinghouse = 338,000

• GIS Data Sources = 4,400,000

• GIS Data Download = 19,100,000

• GIS Database = 27,900,000

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Spatial Data in The Cloud

Florida Geographic Data Library

(FGDL), Florida’s Statewide Data

UF’s URP GeoPlan Center

www.fgdl.org

LABINS

Florida’s Land

Boundary Information

System

www.labins.org

U.S. Geo Spatial One Stop

The US’s GIS data portal

www.GeoData.gov

Africover

Food and Agriculture

Organization of the UN

www.africover.org/system/

africover_data.php

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Subscribed Spatial Databases

LandScan 2010 Global Population

World Language Mapping System

SimplyMap demographic data

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UFDC Digital Collections

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The Map and Imagery Library

Over 500,000 Maps plus atlases, reference books, aerial

photography, and spatial data.

Specialized tours and class instruction by appointment.

Area specialties include: Florida, Latin America, the United

States, Africa, and the Holy Land.

Scanners and computers with GIS and remote sensing

software are available

More information can be found at

http://www.uflib.ufl.edu/maps/

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GIS and Remote Sensing

Users @ UF

=

+ + Zonal Attributes

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GIS Cataloged References @ UF GIS use only limited by the imagination!

Geographic Information Systems AND…

• Public Health – 71

• Forestry – 56

• Business – 189

• Conservation – 375

• Policy – 371

• Dissertation – 190

• Thesis – 232

1988

1997

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UF ArcGIS User Summary

www.geoplan.ufl.edu

• ~ 700 Students Annually, Free Education

Edition

• 40+ units on campus that use the concurrent

use license for ArcGIS Desktop (from 1 to

unlimited licenses)

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• Agricultural and Biological

Engineering

• Agricultural Education and

Communication

• Biology

• Bureau of Economic and Business

Research (BEBR)

• Civil and Coastal Engineering

• College of Agricultural and Life

Sciences - CALS (includes Soils)

• College of Design, Construction &

Planning

• College of Vet Medicine -

Administration

• Coop. Extension, County Ops.

• Department of Epidemiology

• Department of Health Outcomes

and Policy - Community Denistry

• Department of Urology

• e-Learning Support Services /

Office of Academic Technology

• Emerging Pathogens Institute

• Environmental Horticulture

• Fire Science

• Florida Museum of Natural History

• Food and Resource Economics

Department

• Forest Resources and Conservation

- SFRC (includes Fisheries)

• Geography

• GeoPlan

• Horticulture

• IFAS - Citrus Research and

Education Center (CREC)

• IFAS - Entomology and

Nematology

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• IFAS - Everglades Research and

Education Center (EREC)

• IFAS - Florida Medical

Entomology Lab (Vero Beach)

• IFAS - Fort Lauderdale Research

and Education Center (FLREC)

• IFAS - Indian River Research and

Education Center (IRREC)

• IFAS - North Florida Research and

Education Center (NFREC)

• IFAS - Osceola County

• IFAS - Plant Science Unit

• IFAS - Southwest Florida Research

and Education Center (SWFREC)

• IFAS - Statistics

• IFAS - Tropical Research and

Education Center (TREC)

• IFAS - West Florida Research and

Education Center (WFREC)

• IFAS Center for Aquatic &

Invasive Plants

• Institute for Child Health Policy

• Libraries (Unlimited Licenses)

• LUCIE (includes Geogrphay)

• Maternal Child Health and

Education Research and Data

Center, Dept of Pediatrics (Now

called FDC)

• Office of Institutional Planning &

Research

• Program for Resource Efficient

Communities

• Sea Grant

• UF Planning

• UF Shands Cancer Center

• University of Florida Foundation

Research Department

• Wildlife Ecology and Conservation

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Image Analysis Software

Imagine/ENVI User Departments • CISE

• Ag and Bio Engineering

• Geomatics -- School

Forest Resources

• Libraries (5/5)

• CREC, Lake Alfred

Experiment Station

• Ft. Lauderdale Fish and

Wildlife

• Geography/LUECI Lab

• Soil and Water Sciences

• Ag and Bio Engineering

• Wildlife, Ecology and

Conservation

• GeoPlan Center

• Florida Cooperative Fish

and Wildlife Research

Unit

• Fisheries and Aquatic

Sciences

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UF’s Graduate Level

Interdisciplinary Concentration in

GIS (ICGIS) Degrees

Note: (N) - non-thesis degree; (O) - thesis with non-thesis option degree; (T) - thesis degree

http://www.uflib.ufl.edu/icgis/

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ICGIS

10 Participating Degree Programs in:

Agricultural and Biological Engineering

Environmental Engineering Sciences

Landscape Architecture

Geomatics Program

Forestry

Geography

Anthropology

Soil and Water Science

Urban and Regional Planning

Wildlife Ecology and Conservation

School of Natural Resources and Environment

15 Total Credit Hours;

5 Categories of Courses; 29 Classes; 20 Professors

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Converting Maps To Digital Data

Geo-referencing: assigning “real

world” coordinates to a

digital object

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Modern/Ancient Jerusalem 1887

Paper to Digital (Remlap, L. T)

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Large Format

Digital Image Capture

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Desktop Image Capture

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Google Maps: Jerusalem

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ArcGIS: Jerusalem Imagery

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Geo-referencing – image coordinates

to “real world” coordinates

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Finding Common Image and

Real World Control Points

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Georeferenced Digital Map

New Historic Data Layers

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QUESTIONS?


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