Streamlining Survey Workflows Using GIS

Streamlining Survey
Workflows Using GIS
John Mackiewicz
Justin Hansen
What is GIS?
Don’t trust everything you hear. . .
Geographic Information System Garden International School (Malaysia) Gas‐Insulated Switchgear Gastrointestinal Series
Geeky Internal Stuff (databases) General Information Services
General Information Session General Investigative Section (Canada RCMP) Generalized Iterative Scaling Genome Institute of Singapore Gentran Integration Suite (Sterling Commerce) Geodata Interoperability Specification Geographic Imaging Solutions Geographic Information Services Geographic Information Solutions Geographical Imaging Software Geographical Information Services Geographical Information System Geographical Intelligent Survey Geographisches Informationssystem (German) Geophysical Information System Georeferenced Information System Geoscience Information Society Geospatial Information System Geosynchronous Meteorological Satellite
Gisborne, New Zealand (airport code) Global Inbound Service
Global Indexing System Global Information Society Global Information Solutions Global Infrastructure Services Global Investment Systems Goddard Information System
Google Image Search Government Information System
Graphics Information System Greatness Is Simplicity Green Iguana Society Group Index and Schedule
Group Information Session(s) Group Interference Suppression Groupe Interventional Speciale
Gruppo d~ Intervento Speciale
Guaranteed Income Supplement Guidelines Implementation Staff Gunbound International Server Historic Perspective of GIS
Changes with computing platforms
The Future
Mobile
Web Based
Intranet and Internet
Desktop
Mainframe
GIS is a collection of computer hardware, software, and geographic data for . . .
• Capturing
• Managing
• Analyzing • Disseminating all forms of
geographically
referenced information
Visualization
Data Management
Spatial Analysis
Mobile
Data
Metadata
Tables and
Charts
Data Model
Workflows
Symbology
Data
Analysis/
Models
GIS
A Complete System for Geographic
Information
Cloud
Web
Mobile
• Discover
• Create
• Manage
• Visualize
• Analyze
• Collaborate
Enterprise
Local
Desktop
GIS is Evolving. . .Web
Enabled With Search, Base Mapping, Standards………..and GIS Services
Mashups
Mobile
Web
GIS
ArcGIS
Server
Search
GIS Content
& Services
Base Maps
& Globes
+ ++
+
GeoRSS
KML Content
. . . Adding Rich GIS Content and Analytic Services
. . . In an Open and Interoperable Environment
GIS Servers Supporting multiple read/write clients
BAE
Ionic
Google Earth
Image
Integration
AutoCAD
KML
CAD
Metadata
ISO 19139
SOAP,
XML, SQL
Mobile
SAP
GeoMedia
Any
Client
GIS Server
OGC Standards
WMS, WFS,
GML, . . .
Open API’s
MapInfo
Two Worlds Coming Together
Integration Using Standards
Professionals
Consumers
•
•
•
•
•
•
•
Sharing
Accessing Authoritative Source
Seeing Up-to-date Data
Web Clients
Sharing GIS Maps (stories)
Publishing Content for Wide Use
Analysis
Using Web for Collaboration
GIS Clients
Standards
. . . KML
Base Map/
Globes
GIS Content
& Services
Authoritative
Source
Positions
Professionals
GeoRSS
Search
. . . Benefiting Everyone
Everything is Changing . . .
(Right or Wrong)
Everything is Changing . . .
(Right or Wrong)
Time / Accuracy
Technology is closing the gap
Cost
Geospatial Technology Convergence GIS is at the hub of integration
Types of Integrated Data
•
•
•
•
•
•
•
•
•
•
•
•
Weather
• Construction
Monitors
• Streams
Satellites
• Seismic
Aircraft
• Tsunami
Gravity
• Lightning
Geophysical
• RFID
Census
• Many more. . .
Demographic
Business
Infrastructure
Surveying
Real time Network
GIS Server
Data Integration Data integration requires accurate data
Types of Data Accuracy
Measures of data correctness
•
•
•
•
•
Topological – how features relate to each other
Attribute – non-graphical information about features
Spatial – nearness to the true position
Temporal – how current is it
Relative – how accurate are things relative to each other
• Feature Identification – is it what we say it is
. . . .data maintained in a structured environment
Types of geographic data
Data best stored and managed in a database
VECTOR
Land Use/Cover RASTER
Transportation Surface Waters Buildings
Elevation Imagery
Soils
Vegetation
Slope
Others …
Land cover
SURVEY
Parcel Fabric
Geodetic Control
Total Station Data GPS Survey Data . . . Special editing tools for each data type
Components of geographic data
Properly structuring data powers new uses. . .
ATTRIBUTES
BEHAVIOR
GEOMETRY
Rules
Local streets and
highways may
not intersect
Extracting value from geographic data
Requires modeling, management & georeferencing. . . Maps
MAPS
DATA
INFORMATION
KNOWLEDGE
Data
Information
Knowledge
Company Assets
Methodical processes for procurement
•
•
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•
•
•
•
•
Considerations
Return On Investment (ROI)
Quality
Value
Liquidity
Cost
Reliability
Useful/Fit purpose
Maintenance Cost
Data as an Asset
Turning maps and data into information. . .
• Accessibility
• Relevance
• Usability – Reusability
• Durability
• ROI
• Know what is (and is not)
Contributes to better decisions…
Delivers competitive advantage…
Reduces duplicated efforts…
Data as an Asset
Turning maps and data into information. . .
Internal Value of Data
• Better decisions
• More efficient work
• Less duplicated effort
• Accumulate
External Value of Data
• New work
• New markets
• Deeper relationships
• New Opportunities
. . . properly managed data adds value to your company . . .
GIS Data Connected to Survey Network
GIS Data Incrementally Improves with Record Measurements
The Next Generation
High accuracy GIS . . .
Parcel Management
City of Encinitas
Leveraging Survey Accuracy in GIS . .
. . . Using GIS Tools for Survey Integration
Connected, Integrated, Distributed. . . Author, Serve, Use
Use
Position enabled
Serve
GIS Server
Author
Standards based
GeoWeb 2.0
Special Thanks to Brent Jones, Esri
Questions?