SlideShare ist ein Scribd-Unternehmen logo
1 von 19
Downloaden Sie, um offline zu lesen
Project Examples:
Spatial Analysis, Visualization &
        Decision Support


         Lex Ivey, President
MULTI-CRITERIA ANALYSIS

TerraCognito GIS frequently
utilizes multi-criteria
analysis (MCA) in many of
its projects. This powerful
analytical tool is used in site
suitability, development
preference mapping, travel
time analysis, and
greenhouse gas emission
modeling.
COST-DISTANCE MAPPING
Cost-distance mapping is a
mainstay in many of
TerraCognito’s projects. It
forms the basis for many of our
spatial models including the
proximity and travel time
component of our development
preference mapping process, as
well as the trip distance
component of our greenhouse
gas emissions model.
COMMUNITY PREFERENCE MAPPING
TerraCognito GIS has developed                         Perspective 1: Criteria Ranking:   Weighted Drivers Map
a powerful planning approach                                                               (Stakeholder Perspective 1)

that objectively maps the values




                                      More important
                                                          Infrastructure
of citizens and stakeholders
regarding land development and
land preservation. Survey                                  Transit stops

results, keypad polling and other
                                                                                                                               Agreement Map
collaborative information sources                                                                                         (Perspective 1 minus Perspective 2)

are analyzed and mapped to            Less important
                                                            Job centers


build consensus amongst
various stakeholders.                                    Basic services



Key Benefits:
  Driven directly by values and                        Perspective 2: Criteria Ranking:   Weighted Drivers Map
                                                                                          (Stakeholder Perspective 2)
preferences
                                    More important




  Driven by local geography                              Basic services

  Not limited by hard land use
polygons
  Objective                                                  Job centers


  Repeatable
  Transparent                                              Transit stops
                                                                                                                         Consensus                   Discord

  Defensible
                                    Less important




                                                          Infrastructure
VISIBLE RIDGELINE ANALYSIS
                                         Viewshed Analysis                                 Visible Ridgelines Analysis
             View plane                                                       View plane




                                       Observer                                                     Observer




                                                       Plan View                                                    Plan View
  3D View                                                           3D View




Hillside and ridgeline preservation is an important planning issue in
communities where scenic beauty and landscape integrity are valued.
Current GIS tools can easily map visible hillsides and viewsheds, but
mapping the actual ridgelines, where the visible areas meet the sky, is
more elusive. TerraCognito has created an automated ModelBuilder
tool and Python script for mapping visible ridgelines, adding more
functionality to conventional viewshed analysis. Ridgeline analysis is
particularly useful in siting developments, facilities and equipment in
visually sensitive areas.
STRUCTURES




Architectural Models
TerraCognito specializes in creating
3D models representing terrain,
buildings, landforms and other
features that play an important
visual role in planning. From simple
massing to photo-real architectural
models, TerraCognito can create
realistic models for regional and
site-specific projects.
TERRAIN & LANDFORMS

        Tree Species, Density & Height GIS Data




                                                                                          Terrain Model

                                                  Tree Photos




GIS-Driven 3D Visualization                                                             Ortho-photo Drape
Not just “pretty pictures,”                                     Forest Model

TerraCognito’s 3D visualizations are
                                                                               Landscape Visualization
GIS-driven, using scientific and
technical information to create
accurate, realistic models and
landscapes. These can better inform
stakeholders and allow for better
management and land use decisions.
SITE PLANNING
Visualizing the Future
TerraCognito transforms 2-dimensional site plans and land
use plans into compelling 3D representations of future growth.
                                                                  Existing conditions   Plan at build-out
This improves public understanding and builds consensus
amongst stakeholders, ultimately streamlining the public
approval process.




                                                                   Street level view    Roof top view




       Existing conditions             Alternative A             Alternative B                Alternative C
SITE PLANNING
Visualizing the Future
TerraCognito transforms 2-dimensional site plans and land
use plans into compelling 3-dimensional representations of
future growth. This improves public understanding and builds
consensus amongst stakeholders, ultimately streamlining the
public approval process.
GROWTH MODELING/IMPACT ANALYSIS
 Eagle County Build-Out Analysis
 and Visualization, 2008-2010
 Client: Eagle County, Colorado
 TerraCognito worked directly with Eagle
 County, Colorado and the municipalities
 of Avon, Basalt, Eagle, Gypsum, Minturn,
 Red Cliff and Vail to perform a county-
 wide spatial-temporal build-out analysis
 and 3D visualization. Using ArcGIS and
 CommunityViz, a detailed existing
 conditions analysis of dwelling units was
 performed based on assessor and census
 data, followed by a numeric, spatial and
 visual build-out analysis of existing
 zoning as well potential future land use
 described in the municipalities’ Master
 Plans. An elaborate visioning exercise
 was implemented for the unincorporated                           Impact Analysis Animation (1970-2051)
 county using multi-criteria analysis and
 preference mapping to drive future
 growth scenarios. Later phases of work
 included an economic component
 including a commercial build-out
 analysis, existing jobs distribution, future
 jobs allocation and impact analysis.
 Finally, the results were delivered in
 Google Earth format for viewing by the
 both the planners and the public.
                                                Development Preference Model            Customized Google Earth Visualization
REGIONAL PLANNING
demand

                                       Growth Animations
                                       By matching land supply with
                                       the development demand, Terra
supply                                 Cognito creates 4-dimensional
                                       depictions of future land use
                                       alternatives as they develop over
                 land use allocation   several decades.
phasing




          Customized Google Earth Growth Animation
COMPREHENSIVE PLANNING
           Future Jobs & Housing Animation (2011-2060)




Branson Comprehensive Plan, 2010-2011
Client: City of Branson, MO and Design Workshop Inc.
TerraCognito provided key analytical and mapping support in
creating Branson, Missouri’s comprehensive plan. A detailed
existing land use inventory was created and used as an essential
input in a parcel-level build-out analysis which identified
opportunities for in-fill and redevelopment. Multi-criteria
suitability analysis coupled with future demand scenarios and
stakeholder preferences enabled the creation of several future
land use plans. Impact analysis was conducted on the land use
scenarios including multiple indicators ranging from jobs, wages,
and housing affordability, to visible hillside preservation and
greenhouse gas emissions.
DAM REMOVAL VISUALIZATION
Elwha River Dam Removal Visualization
American Rivers hired TerraCognito GIS to visually model two                         hillshade raster
proposed dam removals on the Elwha River in Washington’s
Olympic National Park. TerraCognito created interactive, photo-
realistic, 3D visualization of existing conditions, as well as various            random color ramp

stages of dam removal, including draw-down, riverbed restoration,
and re-vegetation. The visualizations were used extensively by
American Rivers throughout the settlement negotiation process and
in meetings with legislators, ultimately resulting in the impending                   photo-real

removal of the Glines Canyon and Elwha dams. Commencing in                          sediment texture


2011, the dismantling of the Elwha and Glines Canyon dams will
allow the river to flow freely for the first time in 100 years, restoring
over 70 miles of salmon and steelhead habitat.




         Existing conditions                  Dam removal / Reservoir draw down                         Restored river channel
WILDFIRE MITIGATION




               Cost-Benefit Model                                     Landscape Visualization of Forest Treatment



Ray Mesa Wildfire Mitigation
The Bureau of Land Management's Moab, Utah Field Office hired Lex Ivey to model fire hazard mitigation for a NEPA
Environmental Analysis, examining the effectiveness of various treatment alternatives, as well as their associated fiscal,
socioeconomic, and visual impacts. The consultant defined and weighted several criteria to identify areas that would
benefit most from fire mitigation practices. By embedding fuel model data formulated by the U.S. Forest Service (USFS)
into the model, the consultant was able to compare current fuel loads in the forest with those that would remain after
various types of treatments, such as prescribed burning and mechanical and manual thinning. The model allowed the
BLM to measure the effectiveness and cost of the various treatment types, as well as the contribution to the local
economy in terms of contract labor. The visual impacts of each fire treatment alternative could also be seen in a
regional, photo-realistic 3D visualization. The methods, results, methods, and discussion culminated in a satellite
television broadcast to all BLM offices across the nation.
DAM REMOVAL VISUALIZATION
Klamath River Dam Removal Visualization
American Rivers hired TerraCognito GIS to visually model two                        hillshade

proposed dam removals on the Klamath River in California.                           elevation

Interactive, real-time, 3D visualization of existing conditions were                  slope
created, as well as various stages of dam removal, including draw-
down, riverbed restoration, and re-vegetation.                                        aspect


The visualizations were used extensively by American Rivers
throughout the settlement negotiation process and in meetings                       photo-real
with legislators, and in “inspiring” potential funders who may be               restoration texture

called upon to help with the costs of restoration.
In November 2008 PacifiCorp (power company), the federal
government, and the states of California and Oregon signed an
Agreement in Principle stating that the benefits of dam removal
outweigh the potential costs and impacts.




        Existing conditions                 Dam removal / Reservoir draw down                         Restored river channel
NATURAL HAZARD/RISK MODELING




             Land Use Allocation Model
                                                          Landscape Visualization of Debris Flow and Future Growth Scenario


Squamish Natural Hazard/Risk Characterization
The Geologic Survey of Canada hired TerraCognito GIS to model a variety of natural hazards and their imposed
risk for Squamish, British Columbia. LIDAR Data, Satellite Imagery, Assessor’s records, and detailed geophysical
data were compiled into CommunityViz to create a dynamic, interactive hazard/risk characterization tool that
modeled future residential and commercial growth scenarios in the context of risk. Potential loss from flood,
debris flow and sea level rise scenarios were analyzed and visualized to compare and contrast mitigation measures
versus relocation of personal property.
FLOOD HAZARD/RISK MODELING
                                 Hazard/Risk Assessment Model




                                                                           Normal Conditions




                                                                       10-year Flood


Kaycee Flood Risk Assessment
The Natural Resource Conservation Service hired
TerraCognito GIS to model flood hazard and risk for Kaycee,
Wyoming. LIDAR Data, Satellite Imagery, Assessor’s records,
and detailed flood survey data derived from HEC-RAS were           50-year Flood
compiled into CommunityViz to create a dynamic, interactive
hazard/risk characterization tool. Potential loss from three
flood scenarios were analyzed and visualized to compare and
contrast flood mitigation measures versus relocation of
personal property.

                                                                100-year Flood
CUSTOM CARTOGRAPHY




      Accounts for land cover, elevation
        impassable barriers, and slope
           effects on walking speed
office: 303-258-3515   lexivey@terracog.com
mobile: 303-808-3420      www.terracog.com

Weitere ähnliche Inhalte

Was ist angesagt?

GI2013 ppt decewicz_dresden2013.pdf
GI2013 ppt decewicz_dresden2013.pdfGI2013 ppt decewicz_dresden2013.pdf
GI2013 ppt decewicz_dresden2013.pdfIGN Vorstand
 
satellite image processing
satellite image processingsatellite image processing
satellite image processingavhadlaxmikant
 
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...Hans van der Kwast
 
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGA
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGAApplication of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGA
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGAAhmed Gamal Abdel Gawad
 
High Performance Computing for Satellite Image Processing and Analyzing – A ...
High Performance Computing for Satellite Image  Processing and Analyzing – A ...High Performance Computing for Satellite Image  Processing and Analyzing – A ...
High Performance Computing for Satellite Image Processing and Analyzing – A ...Editor IJCATR
 
Geoscience satellite image processing
Geoscience satellite image processingGeoscience satellite image processing
Geoscience satellite image processinggaurav jain
 
QGIS Plugins - GIS II Advanced - CEI40 - AGA
QGIS Plugins - GIS II Advanced - CEI40 - AGAQGIS Plugins - GIS II Advanced - CEI40 - AGA
QGIS Plugins - GIS II Advanced - CEI40 - AGAAhmed Gamal Abdel Gawad
 
Ta Lab Hour Feb9 2011 Bolin
Ta Lab Hour Feb9 2011 BolinTa Lab Hour Feb9 2011 Bolin
Ta Lab Hour Feb9 2011 Bolinchamberlinfaye
 
Deamicis etal
Deamicis etalDeamicis etal
Deamicis etalthangqd
 
Daneke & Oßenbrügge - input2012
Daneke & Oßenbrügge - input2012Daneke & Oßenbrügge - input2012
Daneke & Oßenbrügge - input2012INPUT 2012
 
Mapping virtual and physical reality
Mapping virtual and physical realityMapping virtual and physical reality
Mapping virtual and physical realityChheang Vuthea
 
Balancing Past and Future
Balancing Past and FutureBalancing Past and Future
Balancing Past and FutureEsri
 
Free GIS Resources
Free GIS ResourcesFree GIS Resources
Free GIS Resourcesrutlandrpc
 

Was ist angesagt? (13)

GI2013 ppt decewicz_dresden2013.pdf
GI2013 ppt decewicz_dresden2013.pdfGI2013 ppt decewicz_dresden2013.pdf
GI2013 ppt decewicz_dresden2013.pdf
 
satellite image processing
satellite image processingsatellite image processing
satellite image processing
 
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...
Uncertainty Analysis and Data Assimilation of Remote Sensing Data for the Cal...
 
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGA
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGAApplication of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGA
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGA
 
High Performance Computing for Satellite Image Processing and Analyzing – A ...
High Performance Computing for Satellite Image  Processing and Analyzing – A ...High Performance Computing for Satellite Image  Processing and Analyzing – A ...
High Performance Computing for Satellite Image Processing and Analyzing – A ...
 
Geoscience satellite image processing
Geoscience satellite image processingGeoscience satellite image processing
Geoscience satellite image processing
 
QGIS Plugins - GIS II Advanced - CEI40 - AGA
QGIS Plugins - GIS II Advanced - CEI40 - AGAQGIS Plugins - GIS II Advanced - CEI40 - AGA
QGIS Plugins - GIS II Advanced - CEI40 - AGA
 
Ta Lab Hour Feb9 2011 Bolin
Ta Lab Hour Feb9 2011 BolinTa Lab Hour Feb9 2011 Bolin
Ta Lab Hour Feb9 2011 Bolin
 
Deamicis etal
Deamicis etalDeamicis etal
Deamicis etal
 
Daneke & Oßenbrügge - input2012
Daneke & Oßenbrügge - input2012Daneke & Oßenbrügge - input2012
Daneke & Oßenbrügge - input2012
 
Mapping virtual and physical reality
Mapping virtual and physical realityMapping virtual and physical reality
Mapping virtual and physical reality
 
Balancing Past and Future
Balancing Past and FutureBalancing Past and Future
Balancing Past and Future
 
Free GIS Resources
Free GIS ResourcesFree GIS Resources
Free GIS Resources
 

Ähnlich wie TerraCognito Overview

Presentation dr abeermoh_bahrain_gbforum2012kuwait
Presentation dr abeermoh_bahrain_gbforum2012kuwaitPresentation dr abeermoh_bahrain_gbforum2012kuwait
Presentation dr abeermoh_bahrain_gbforum2012kuwaitgreenbuilding
 
GISenabledUrbanDesignAGSEPaper.pdf
GISenabledUrbanDesignAGSEPaper.pdfGISenabledUrbanDesignAGSEPaper.pdf
GISenabledUrbanDesignAGSEPaper.pdfSurenAdithyaaRA19112
 
GIS Application Used in Urban Planning In India
GIS Application Used in Urban Planning In IndiaGIS Application Used in Urban Planning In India
GIS Application Used in Urban Planning In IndiaIRJET Journal
 
GIS Based Project Planning and Management
GIS Based Project Planning and ManagementGIS Based Project Planning and Management
GIS Based Project Planning and ManagementSaurabhChobe
 
Geospatial Applications in Civil Engineering
Geospatial Applications in Civil EngineeringGeospatial Applications in Civil Engineering
Geospatial Applications in Civil EngineeringSriharsha Rangineni
 
Gisapplicationincivilengineering 140227110022-phpapp02
Gisapplicationincivilengineering 140227110022-phpapp02Gisapplicationincivilengineering 140227110022-phpapp02
Gisapplicationincivilengineering 140227110022-phpapp02Antriksh Vatsyayana
 
09187784d assignment 1
09187784d assignment 109187784d assignment 1
09187784d assignment 1lsgi4321
 
Integration of BIM & GIS: A Comprehensive Overview
Integration of BIM & GIS: A Comprehensive OverviewIntegration of BIM & GIS: A Comprehensive Overview
Integration of BIM & GIS: A Comprehensive OverviewChandresh Chudasama
 
Gis application in civil engineering
Gis application in civil engineeringGis application in civil engineering
Gis application in civil engineeringAmal C Varghese
 
scenario planning at the city scale | Doug Walker
scenario planning at the city scale | Doug Walkerscenario planning at the city scale | Doug Walker
scenario planning at the city scale | Doug WalkerOpenPlans
 
TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011Gustavo Olivares
 
BIM - Esri UK Annual Conference 2016
BIM - Esri UK Annual Conference 2016BIM - Esri UK Annual Conference 2016
BIM - Esri UK Annual Conference 2016Esri UK
 
GIS enabled eGovernance
GIS enabled eGovernanceGIS enabled eGovernance
GIS enabled eGovernanceEsri India
 
Embedding user generated content into oblique airborne photogrammetry based 3...
Embedding user generated content into oblique airborne photogrammetry based 3...Embedding user generated content into oblique airborne photogrammetry based 3...
Embedding user generated content into oblique airborne photogrammetry based 3...Jianming Liang
 
A New Dimension
A New DimensionA New Dimension
A New DimensionEsri
 
Geodatabase with GIS & RS
Geodatabase with GIS & RSGeodatabase with GIS & RS
Geodatabase with GIS & RSMohammed_82
 
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...Eye-bot
 

Ähnlich wie TerraCognito Overview (20)

Presentation dr abeermoh_bahrain_gbforum2012kuwait
Presentation dr abeermoh_bahrain_gbforum2012kuwaitPresentation dr abeermoh_bahrain_gbforum2012kuwait
Presentation dr abeermoh_bahrain_gbforum2012kuwait
 
GISenabledUrbanDesignAGSEPaper.pdf
GISenabledUrbanDesignAGSEPaper.pdfGISenabledUrbanDesignAGSEPaper.pdf
GISenabledUrbanDesignAGSEPaper.pdf
 
Environmental Projects
Environmental ProjectsEnvironmental Projects
Environmental Projects
 
GIS Application Used in Urban Planning In India
GIS Application Used in Urban Planning In IndiaGIS Application Used in Urban Planning In India
GIS Application Used in Urban Planning In India
 
GIS Based Project Planning and Management
GIS Based Project Planning and ManagementGIS Based Project Planning and Management
GIS Based Project Planning and Management
 
Geospatial Applications in Civil Engineering
Geospatial Applications in Civil EngineeringGeospatial Applications in Civil Engineering
Geospatial Applications in Civil Engineering
 
Gisapplicationincivilengineering 140227110022-phpapp02
Gisapplicationincivilengineering 140227110022-phpapp02Gisapplicationincivilengineering 140227110022-phpapp02
Gisapplicationincivilengineering 140227110022-phpapp02
 
09187784d assignment 1
09187784d assignment 109187784d assignment 1
09187784d assignment 1
 
Integration of BIM & GIS: A Comprehensive Overview
Integration of BIM & GIS: A Comprehensive OverviewIntegration of BIM & GIS: A Comprehensive Overview
Integration of BIM & GIS: A Comprehensive Overview
 
Gis application in civil engineering
Gis application in civil engineeringGis application in civil engineering
Gis application in civil engineering
 
scenario planning at the city scale | Doug Walker
scenario planning at the city scale | Doug Walkerscenario planning at the city scale | Doug Walker
scenario planning at the city scale | Doug Walker
 
Making Infrastructure Work: BIM Meets Geospatial (Rollo Home, Ordnance Survey)
Making Infrastructure Work: BIM Meets Geospatial (Rollo Home, Ordnance Survey)Making Infrastructure Work: BIM Meets Geospatial (Rollo Home, Ordnance Survey)
Making Infrastructure Work: BIM Meets Geospatial (Rollo Home, Ordnance Survey)
 
TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011TOTUS update Auckland Council - Dec 2011
TOTUS update Auckland Council - Dec 2011
 
BIM - Esri UK Annual Conference 2016
BIM - Esri UK Annual Conference 2016BIM - Esri UK Annual Conference 2016
BIM - Esri UK Annual Conference 2016
 
GIS enabled eGovernance
GIS enabled eGovernanceGIS enabled eGovernance
GIS enabled eGovernance
 
Embedding user generated content into oblique airborne photogrammetry based 3...
Embedding user generated content into oblique airborne photogrammetry based 3...Embedding user generated content into oblique airborne photogrammetry based 3...
Embedding user generated content into oblique airborne photogrammetry based 3...
 
A New Dimension
A New DimensionA New Dimension
A New Dimension
 
5.0000099.pdf
5.0000099.pdf5.0000099.pdf
5.0000099.pdf
 
Geodatabase with GIS & RS
Geodatabase with GIS & RSGeodatabase with GIS & RS
Geodatabase with GIS & RS
 
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...
Transforming Construction Projects: The Crucial Role of Drone Mapping and Mod...
 

Kürzlich hochgeladen

"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 

Kürzlich hochgeladen (20)

"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 

TerraCognito Overview

  • 1. Project Examples: Spatial Analysis, Visualization & Decision Support Lex Ivey, President
  • 2. MULTI-CRITERIA ANALYSIS TerraCognito GIS frequently utilizes multi-criteria analysis (MCA) in many of its projects. This powerful analytical tool is used in site suitability, development preference mapping, travel time analysis, and greenhouse gas emission modeling.
  • 3. COST-DISTANCE MAPPING Cost-distance mapping is a mainstay in many of TerraCognito’s projects. It forms the basis for many of our spatial models including the proximity and travel time component of our development preference mapping process, as well as the trip distance component of our greenhouse gas emissions model.
  • 4. COMMUNITY PREFERENCE MAPPING TerraCognito GIS has developed Perspective 1: Criteria Ranking: Weighted Drivers Map a powerful planning approach (Stakeholder Perspective 1) that objectively maps the values More important Infrastructure of citizens and stakeholders regarding land development and land preservation. Survey Transit stops results, keypad polling and other Agreement Map collaborative information sources (Perspective 1 minus Perspective 2) are analyzed and mapped to Less important Job centers build consensus amongst various stakeholders. Basic services Key Benefits: Driven directly by values and Perspective 2: Criteria Ranking: Weighted Drivers Map (Stakeholder Perspective 2) preferences More important Driven by local geography Basic services Not limited by hard land use polygons Objective Job centers Repeatable Transparent Transit stops Consensus Discord Defensible Less important Infrastructure
  • 5. VISIBLE RIDGELINE ANALYSIS Viewshed Analysis Visible Ridgelines Analysis View plane View plane Observer Observer Plan View Plan View 3D View 3D View Hillside and ridgeline preservation is an important planning issue in communities where scenic beauty and landscape integrity are valued. Current GIS tools can easily map visible hillsides and viewsheds, but mapping the actual ridgelines, where the visible areas meet the sky, is more elusive. TerraCognito has created an automated ModelBuilder tool and Python script for mapping visible ridgelines, adding more functionality to conventional viewshed analysis. Ridgeline analysis is particularly useful in siting developments, facilities and equipment in visually sensitive areas.
  • 6. STRUCTURES Architectural Models TerraCognito specializes in creating 3D models representing terrain, buildings, landforms and other features that play an important visual role in planning. From simple massing to photo-real architectural models, TerraCognito can create realistic models for regional and site-specific projects.
  • 7. TERRAIN & LANDFORMS Tree Species, Density & Height GIS Data Terrain Model Tree Photos GIS-Driven 3D Visualization Ortho-photo Drape Not just “pretty pictures,” Forest Model TerraCognito’s 3D visualizations are Landscape Visualization GIS-driven, using scientific and technical information to create accurate, realistic models and landscapes. These can better inform stakeholders and allow for better management and land use decisions.
  • 8. SITE PLANNING Visualizing the Future TerraCognito transforms 2-dimensional site plans and land use plans into compelling 3D representations of future growth. Existing conditions Plan at build-out This improves public understanding and builds consensus amongst stakeholders, ultimately streamlining the public approval process. Street level view Roof top view Existing conditions Alternative A Alternative B Alternative C
  • 9. SITE PLANNING Visualizing the Future TerraCognito transforms 2-dimensional site plans and land use plans into compelling 3-dimensional representations of future growth. This improves public understanding and builds consensus amongst stakeholders, ultimately streamlining the public approval process.
  • 10. GROWTH MODELING/IMPACT ANALYSIS Eagle County Build-Out Analysis and Visualization, 2008-2010 Client: Eagle County, Colorado TerraCognito worked directly with Eagle County, Colorado and the municipalities of Avon, Basalt, Eagle, Gypsum, Minturn, Red Cliff and Vail to perform a county- wide spatial-temporal build-out analysis and 3D visualization. Using ArcGIS and CommunityViz, a detailed existing conditions analysis of dwelling units was performed based on assessor and census data, followed by a numeric, spatial and visual build-out analysis of existing zoning as well potential future land use described in the municipalities’ Master Plans. An elaborate visioning exercise was implemented for the unincorporated Impact Analysis Animation (1970-2051) county using multi-criteria analysis and preference mapping to drive future growth scenarios. Later phases of work included an economic component including a commercial build-out analysis, existing jobs distribution, future jobs allocation and impact analysis. Finally, the results were delivered in Google Earth format for viewing by the both the planners and the public. Development Preference Model Customized Google Earth Visualization
  • 11. REGIONAL PLANNING demand Growth Animations By matching land supply with the development demand, Terra supply Cognito creates 4-dimensional depictions of future land use alternatives as they develop over land use allocation several decades. phasing Customized Google Earth Growth Animation
  • 12. COMPREHENSIVE PLANNING Future Jobs & Housing Animation (2011-2060) Branson Comprehensive Plan, 2010-2011 Client: City of Branson, MO and Design Workshop Inc. TerraCognito provided key analytical and mapping support in creating Branson, Missouri’s comprehensive plan. A detailed existing land use inventory was created and used as an essential input in a parcel-level build-out analysis which identified opportunities for in-fill and redevelopment. Multi-criteria suitability analysis coupled with future demand scenarios and stakeholder preferences enabled the creation of several future land use plans. Impact analysis was conducted on the land use scenarios including multiple indicators ranging from jobs, wages, and housing affordability, to visible hillside preservation and greenhouse gas emissions.
  • 13. DAM REMOVAL VISUALIZATION Elwha River Dam Removal Visualization American Rivers hired TerraCognito GIS to visually model two hillshade raster proposed dam removals on the Elwha River in Washington’s Olympic National Park. TerraCognito created interactive, photo- realistic, 3D visualization of existing conditions, as well as various random color ramp stages of dam removal, including draw-down, riverbed restoration, and re-vegetation. The visualizations were used extensively by American Rivers throughout the settlement negotiation process and in meetings with legislators, ultimately resulting in the impending photo-real removal of the Glines Canyon and Elwha dams. Commencing in sediment texture 2011, the dismantling of the Elwha and Glines Canyon dams will allow the river to flow freely for the first time in 100 years, restoring over 70 miles of salmon and steelhead habitat. Existing conditions Dam removal / Reservoir draw down Restored river channel
  • 14. WILDFIRE MITIGATION Cost-Benefit Model Landscape Visualization of Forest Treatment Ray Mesa Wildfire Mitigation The Bureau of Land Management's Moab, Utah Field Office hired Lex Ivey to model fire hazard mitigation for a NEPA Environmental Analysis, examining the effectiveness of various treatment alternatives, as well as their associated fiscal, socioeconomic, and visual impacts. The consultant defined and weighted several criteria to identify areas that would benefit most from fire mitigation practices. By embedding fuel model data formulated by the U.S. Forest Service (USFS) into the model, the consultant was able to compare current fuel loads in the forest with those that would remain after various types of treatments, such as prescribed burning and mechanical and manual thinning. The model allowed the BLM to measure the effectiveness and cost of the various treatment types, as well as the contribution to the local economy in terms of contract labor. The visual impacts of each fire treatment alternative could also be seen in a regional, photo-realistic 3D visualization. The methods, results, methods, and discussion culminated in a satellite television broadcast to all BLM offices across the nation.
  • 15. DAM REMOVAL VISUALIZATION Klamath River Dam Removal Visualization American Rivers hired TerraCognito GIS to visually model two hillshade proposed dam removals on the Klamath River in California. elevation Interactive, real-time, 3D visualization of existing conditions were slope created, as well as various stages of dam removal, including draw- down, riverbed restoration, and re-vegetation. aspect The visualizations were used extensively by American Rivers throughout the settlement negotiation process and in meetings photo-real with legislators, and in “inspiring” potential funders who may be restoration texture called upon to help with the costs of restoration. In November 2008 PacifiCorp (power company), the federal government, and the states of California and Oregon signed an Agreement in Principle stating that the benefits of dam removal outweigh the potential costs and impacts. Existing conditions Dam removal / Reservoir draw down Restored river channel
  • 16. NATURAL HAZARD/RISK MODELING Land Use Allocation Model Landscape Visualization of Debris Flow and Future Growth Scenario Squamish Natural Hazard/Risk Characterization The Geologic Survey of Canada hired TerraCognito GIS to model a variety of natural hazards and their imposed risk for Squamish, British Columbia. LIDAR Data, Satellite Imagery, Assessor’s records, and detailed geophysical data were compiled into CommunityViz to create a dynamic, interactive hazard/risk characterization tool that modeled future residential and commercial growth scenarios in the context of risk. Potential loss from flood, debris flow and sea level rise scenarios were analyzed and visualized to compare and contrast mitigation measures versus relocation of personal property.
  • 17. FLOOD HAZARD/RISK MODELING Hazard/Risk Assessment Model Normal Conditions 10-year Flood Kaycee Flood Risk Assessment The Natural Resource Conservation Service hired TerraCognito GIS to model flood hazard and risk for Kaycee, Wyoming. LIDAR Data, Satellite Imagery, Assessor’s records, and detailed flood survey data derived from HEC-RAS were 50-year Flood compiled into CommunityViz to create a dynamic, interactive hazard/risk characterization tool. Potential loss from three flood scenarios were analyzed and visualized to compare and contrast flood mitigation measures versus relocation of personal property. 100-year Flood
  • 18. CUSTOM CARTOGRAPHY Accounts for land cover, elevation impassable barriers, and slope effects on walking speed
  • 19. office: 303-258-3515 lexivey@terracog.com mobile: 303-808-3420 www.terracog.com