presentation by joseph k. berry
DESCRIPTION
Geotechnology in Transition : Evolution, Current Practice, Trends and Future Directions that are Moving Us Beyond Mapping. Geospatial Workshop for the City of Oslo – September 2, 2010. Understanding… 1) What GIS IS …and Is Not, 2) Nature of Grid-based Mapped Data, - PowerPoint PPT PresentationTRANSCRIPT
Presentation byPresentation by
Joseph K. BerryJoseph K. Berry
W.M. Keck Scholar in Geosciences, University of DenverW.M. Keck Scholar in Geosciences, University of Denver
Principal, Berry & Associates // Spatial Information SystemsPrincipal, Berry & Associates // Spatial Information Systems2000 S. College Ave, Suite 300, Fort Collins, CO 805252000 S. College Ave, Suite 300, Fort Collins, CO 80525
Phone: (970) 215-0825 Email: [email protected]: (970) 215-0825 Email: [email protected]
Website at Website at www.innovativegis.com/basiswww.innovativegis.com/basis
Geotechnology in TransitionGeotechnology in Transition: : Evolution, Current Practice, Trends and Future Directions Evolution, Current Practice, Trends and Future Directions
that are Moving Us Beyond Mapping that are Moving Us Beyond Mapping
Geospatial Workshop for the City of Oslo – September 2, 2010Geospatial Workshop for the City of Oslo – September 2, 2010
Understanding…Understanding…
1) 1) What GIS IS …and Is Not, What GIS IS …and Is Not, 2)2) Nature of Grid-based Mapped Data, Nature of Grid-based Mapped Data,
3)3) Map Analysis and Modeling, Map Analysis and Modeling, 4)4) Multimedia Mapping, and Multimedia Mapping, and
5)5) Where GIS Is Headed Where GIS Is Headed
……an an enabling technologyenabling technology used in spatial reasoning, dialog and decision-making— used in spatial reasoning, dialog and decision-making—
Geotechnology is one of the three "mega technologies" for the 21st century and promises to forever change how we conceptualize, utilize and visualize
spatial relationships in scientific research and commercial applications (U.S. Department of Labor)
Modeling involves analysis of
spatial relationships and patterns
(Continuous/Numerical)
Prescriptive Modeling
Why So What What if…
Global Positioning System (location and navigation)
Remote Sensing(measure and classify)
GPS/GIS/RSThe Spatial Triad
Mapping involves precise
placement of physical features and inventories
(Discrete/Graphic)
Descriptive Mapping
(Nanotechnology)(Nanotechnology) GeotechnologyGeotechnology (Biotechnology)(Biotechnology)
Map Analysis …provides “tools” for investigating spatial patterns and relationships
Geographic Information Systems (map and analyze)
isWhere What
(Berry)(Berry)
Conceptual Framework for Map AnalysisConceptual Framework for Map Analysis
(Berry)(Berry)
GeotechnologyGeotechnology – one of the three mega-technologies for the 21st Century
70s Computer Mapping (Automated Cartography)
80s Spatial Database Management (Mapping and Geo-query)
90s Map Analysis Map Analysis (Spatial Relationships and Patterns)
00s Multimedia Mapping Multimedia Mapping (GIS/Internet/Visualization integration)
Global Positioning System (Location and Navigation)
Remote Sensing (Measure and Classify)
Geographic Information Systems Geographic Information Systems (Map and Analyze) Spatial Triad
Spatial AnalysisSpatial Analysis (Geographic Context)
Spatial StatisticsSpatial Statistics (Numeric Context)
…analytical tools for characterizing “contextual spatial relationships” within and among mapped data, such as effective distance, optimal paths, visual connectivity and micro-terrain analysis. Specific classes of spatial analysis operations include Reclassify, Overlay, Proximity and Neighbors.
…analytical tools for characterizing “numerical spatial relationships” within and among mapped data, such as density analysis, spatial interpolation, data mining, correlation and predictive modeling. Specific classes of spatial statistics include Surface Modeling, and Spatial Data Mining.
AnalyticalToolbox
Desktop Mapping FrameworkDesktop Mapping Framework (Vector, (Vector, DiscreteDiscrete))
Click on…Click on…Select ThemeSelect Theme Zoom PanZoom Pan
Info Info ToolTool
ThemeThemeTableTable
DistanceDistance
QueryQueryBuilderBuilder
……identify tall identify tall aspen standsaspen stands
Big …over 400,000m2 (40ha)?
::Object IDObject IDX,YX,YX,YX,YX,YX,Y ::
FeatureFeature SpeciesSpecies etc.etc. : :: :Object ID AwObject ID Aw : :: :
Spatial Spatial Table Table (WHERE)(WHERE)
AttributeAttributeTable Table (WHAT)(WHAT)
Discrete, irregular map features (Discrete, irregular map features (objectsobjects))
PointsPoints, , LinesLines andand AreasAreas(Berry)(Berry)
MAP Analysis Framework MAP Analysis Framework (Raster, (Raster, ContinuousContinuous))
Continuous, regular grid cells (Continuous, regular grid cells (objectsobjects))
PointsPoints, , LinesLines, , AreasAreas andand SurfacesSurfaces
::--, --, --, --,--, --, --, --,--, --, --, --,--, --, --, --,--, --, --, --,--, --, --, --,--, --, 12101210, --,, --,--, --, --, --,--, --, --, --,::
GridGridTableTable
(Berry)(Berry)
Click on…Click on…Zoom Pan RotateZoom Pan Rotate DisplayDisplay
ShadingShadingManagerManager
GridGridAnalysisAnalysis
……calculate a calculate a slopeslope map and map and drape on the drape on the elevation surfaceelevation surface
Calculating Slope Calculating Slope and Surface Flow Videoand Surface Flow Video
(click)(click)
Slope= rise/run
Basic Grid Data Structure Basic Grid Data Structure (Analysis Frame)(Analysis Frame)
Points, Lines , Points, Lines , AreasAreas
FillFill
Layer MeshLayer Mesh Grid MapGrid Map
A A Grid MapGrid Map consists of a consists of a matrix of numbersmatrix of numbers with a value with a value indicating the characteristic /condition at each grid cell indicating the characteristic /condition at each grid cell locationlocation
(Berry)(Berry)
“…“…preconditions geographic spacepreconditions geographic space for analysis” for analysis” (Implicit Topology)(Implicit Topology)
Points, Lines , AreasPoints, Lines , Areas
SurfacesSurfaces
Map Stack …forming a geo-registered set of “map layers” forming a geo-registered set of “map layers”
organized as a organized as a Map StackMap Stack
Analysis FrameAnalysis Frame
The The Analysis Frame Analysis Frame provides provides consistent consistent “parceling” needed “parceling” needed for map analysis for map analysis and extends discrete and extends discrete point, line and areal point, line and areal features to features to continuous continuous map surfacesmap surfaces Data listing for a
Map Stack
Drill-down
Col 3, Row 22Col 3, Row 22
Layer MeshLayer Mesh
Desktop Mapping Desktop Mapping vs.vs. Map AnalysisMap Analysis
ContinuousSpatial Distribution
DiscreteSpatial Object
Map AnalysisGeographic Space
Map AnalysisMap Analysis map-ematically relates patterns within and among continuous map-ematically relates patterns within and among continuous
spatial distributions (Map Surfaces) —spatial distributions (Map Surfaces) — spatial analysis and statisticsspatial analysis and statistics
(Geographic Distribution)
““Maps are Maps are numbers firstnumbers first, pictures later”, pictures later”
22.0Spatially
GeneralizedSpatiallyDetailed
40.7 …not a problem
AdjacentParcels
High Pocket
Discovery of sub-area…
(Berry)(Berry)
Average = 22.0StDev = 18.7
Desktop MappingData Space Field
Data
Standard Normal Curve
Desktop MappingDesktop Mapping graphically links generalized statistics to discrete spatial graphically links generalized statistics to discrete spatial
objects (Points, Lines, Polygons) —objects (Points, Lines, Polygons) — non-spatial analysisnon-spatial analysis
X, Y, Value
PointSampled
Data
(Numeric Distribution)
Spatial Database ManagementSpatial Database Management links computer links computer
mapping with database capabilities mapping with database capabilities ((80s80s) )
Computer MappingComputer Mapping automates the cartographic process automates the cartographic process ((70s70s))
Recall that Recall that in the beginningin the beginning we had… we had…
Mapping and Geo-queryMapping and Geo-query
(Berry)(Berry)
Map AnalysisMap Analysis representation of relationships within representation of relationships within and among mapped data and among mapped data ((90s90s))
Spatial Analysis Spatial Analysis (Contextual)(Contextual) Spatial Statistics Spatial Statistics (Numerical)(Numerical)
Map-ematicsMap-ematics
But the nature of the digital map is taking us beyond mapping…But the nature of the digital map is taking us beyond mapping…
……new analytic tools involvingnew analytic tools involving entirely new spatial reasoning skillsentirely new spatial reasoning skills
Traditional StatisticsTraditional Statistics
• Mean, StDev (Normal Curve)Mean, StDev (Normal Curve)
• Central TendencyCentral Tendency
• Typical Response (scalar) Typical Response (scalar)
Minimum= 5.4 ppmMinimum= 5.4 ppmMaximum= 103.0 ppmMaximum= 103.0 ppm
Mean= 22.4 ppmMean= 22.4 ppmStDEV= 15.5StDEV= 15.5
Spatial StatisticsSpatial Statistics
• Map of Variance Map of Variance (gradient)(gradient)
• Spatial DistributionSpatial Distribution
• NumericalNumerical Spatial Relationships Spatial Relationships
Spatial Spatial DistributionDistribution(Surface)(Surface)
Mapped Data Analysis Evolution Mapped Data Analysis Evolution (Revolution)(Revolution)
Traditional GISTraditional GIS
• Points, Lines, PolygonsPoints, Lines, Polygons
• Discrete ObjectsDiscrete Objects
• Mapping and Geo-queryMapping and Geo-query
Forest Inventory Forest Inventory MapMap
(Berry)(Berry)
NowNow
LaterLater
Spatial AnalysisSpatial Analysis
• Cells, Cells, SurfacesSurfaces
• ContinuousContinuous Geographic Space Geographic Space
• ContextualContextual Spatial Relationships Spatial Relationships
ElevationElevation(Surface)(Surface)
(Points, Lines , Areas)(Points, Lines , Areas)
Elevation Surface
Calculating Slope and Flow Calculating Slope and Flow (Spatial Analysis)(Spatial Analysis)
Inclination of a fitted Inclination of a fitted plane to a location and plane to a location and its eight surrounding its eight surrounding elevation valueselevation values(Neighbors)
Total number of the steepest Total number of the steepest downhill paths flowing into each downhill paths flowing into each location location (Distance)
Slope Slope (47,64)(47,64) = 33.23% = 33.23%
Slope map draped on Elevation
Slope map
Flow Flow (28,46)(28,46) = 451 Paths = 451 Paths
Flow map draped on Elevation
Flow map(Berry)(Berry)
Erosion PotentialErosion Potential
Flowmap
Slopemap
Deriving Erosion Potential & BuffersDeriving Erosion Potential & Buffers
Erosion_potentialFlow/SlopeSlope_classes
Flow_classes
Rec
las
sif
yR
ecla
ss
ify
Ove
rla
y
Rec
las
sif
y
Protective BuffersProtective Buffers
Erosion_potential
But all buffer-feet are not the same…
(slope/flow Erosion_potential)
…reach farther in areas of high erosion potential
(Variable-width Buffer)
(Berry)
“Simple” Fixed-width Buffer
Streams Simple Buffer
“as the crow flies”
Erosion_potential
Streams
Erosion Buffers
Dis
tan
ce
Distance away from the streams is a Distance away from the streams is a function of the erosion potentialfunction of the erosion potential (Flow/Slope (Flow/Slope Class) with intervening heavy flow and steep Class) with intervening heavy flow and steep slopes computed as effectively closer than slopes computed as effectively closer than simple distance— simple distance— “as the crow walks”“as the crow walks”
Calculating Effective Distance Calculating Effective Distance (Variable-width Buffers)(Variable-width Buffers)
Effective BuffersEffective Buffers
Effective Erosion DistanceEffective Erosion Distance
CloseClose FarFar
Heavy/Steep(far from stream)
Light/Gentle(close)
Simple BufferSimple Buffer
(Berry)(Berry)
Accumulated Proximity animationAccumulated Proximity animation(click)(click)
(See (See Beyond Mapping IIIBeyond Mapping III, “Topic 24”, , “Topic 24”, Overview of Spatial Analysis and Statistics, www.innovativegis.com/basis), www.innovativegis.com/basis)
Traditional StatisticsTraditional Statistics
• Mean, StDev (Normal Curve)Mean, StDev (Normal Curve)
• Central TendencyCentral Tendency
• Typical Response (scalar) Typical Response (scalar)
Minimum= 5.4 ppmMinimum= 5.4 ppmMaximum= 103.0 ppmMaximum= 103.0 ppm
Mean= 22.4 ppmMean= 22.4 ppmStDEV= 15.5StDEV= 15.5
Spatial StatisticsSpatial Statistics
• Map of Variance Map of Variance (gradient)(gradient)
• Spatial DistributionSpatial Distribution
• Numerical Spatial RelationshipsNumerical Spatial Relationships
Spatial Spatial DistributionDistribution(Surface)(Surface)
Mapped Data Analysis Evolution Mapped Data Analysis Evolution (Revolution)(Revolution)
Traditional GISTraditional GIS
• Points, Lines, PolygonsPoints, Lines, Polygons
• Discrete ObjectsDiscrete Objects
• Mapping and Geo-queryMapping and Geo-query
Forest Inventory Forest Inventory MapMap
Spatial AnalysisSpatial Analysis
• Cells, Surfaces Cells, Surfaces
• Continuous Geographic SpaceContinuous Geographic Space
• Contextual Spatial RelationshipsContextual Spatial Relationships
ElevationElevation(Surface)(Surface)
(Berry)(Berry)
Visualizing Spatial Relationships Visualizing Spatial Relationships (Spatial Distributions)(Spatial Distributions)
What spatial relationships What spatial relationships do you do you SEESEE??
……do relatively high do relatively high levels of P often occur levels of P often occur with high levels of K and with high levels of K and N?N?
……how often?how often?
……where?where?
Phosphorous (P)
Geographic Distribution
Multivariate AnalysisMultivariate Analysis— each map layer is a — each map layer is a continuous variable with all of the math/stat continuous variable with all of the math/stat
“ “rights, privileges and responsibilities” therewith …simply “spatially organized “ sets of numbers (matrices) rights, privileges and responsibilities” therewith …simply “spatially organized “ sets of numbers (matrices)
““Maps are numbers Maps are numbers firstfirst, pictures later”, pictures later”
(Berry)(Berry)
Clustering Maps for Data ZonesClustering Maps for Data Zones
Groups of “floating balls” in data space identify locations in the field Groups of “floating balls” in data space identify locations in the field with similar data patterns– with similar data patterns– data zones data zones or or ClustersClusters
……data distancesdata distances are minimized within a group (intra-cluster distance) and maximized are minimized within a group (intra-cluster distance) and maximized between groups (inter-cluster distance) using an optimization procedurebetween groups (inter-cluster distance) using an optimization procedure
(See (See Beyond Mapping IIIBeyond Mapping III, “Topic 7”, , “Topic 7”, Linking Data Space and Geographic SpaceLinking Data Space and Geographic Space, www.innovativegis.com/basis), www.innovativegis.com/basis)
(See (See Beyond Mapping IIIBeyond Mapping III, “Topic 16”, , “Topic 16”, Characterizing Spatial Patterns and RelationshipsCharacterizing Spatial Patterns and Relationships, www.innovativegis.com/basis), www.innovativegis.com/basis)(Berry)(Berry)
The Precision Ag Process The Precision Ag Process (Fertility example)(Fertility example)
As a combine moves through a field it As a combine moves through a field it 1)1) uses GPS to check its location then uses GPS to check its location then
2)2) checks the yield at that location to checks the yield at that location to 3)3) create a continuous map of the create a continuous map of the
yield variation every few feet. yield variation every few feet.
On-the-Fly On-the-Fly Yield MapYield Map
Steps 1) – 3)Steps 1) – 3)
(See (See Beyond Mapping IIIBeyond Mapping III, “Topic 16”, , “Topic 16”, Characterizing Spatial Patterns and RelationshipsCharacterizing Spatial Patterns and Relationships, www.innovativegis.com/basis), www.innovativegis.com/basis)
Farm dBFarm dB
Step 4)Step 4)Map AnalysisMap Analysis
This map isThis map is
4)4) combined with soil, terrain and other maps to combined with soil, terrain and other maps to
derivederive
Prescription MapPrescription Map
Step 5)Step 5)
5)5) a “Prescription Map” a “Prescription Map”
Step 6)Step 6)
Variable Rate ApplicationVariable Rate Application
Cyber-Farmer, Circa 1992
that is used to that is used to
6)6) adjust fertilization levels every few feet in the adjust fertilization levels every few feet in the
field field ((Variable Rate Application; Site-specific ManagementVariable Rate Application; Site-specific Management))
(Berry)(Berry)
Map AnalysisMap Analysis representation of relationships within representation of relationships within and among mapped data and among mapped data ((90s90s))
Spatial Analysis Spatial Analysis (Contextual)(Contextual) Spatial Statistics Spatial Statistics (Numerical)(Numerical)
Map-ematicsMap-ematics
Multimedia MappingMultimedia Mapping full full integration of GIS, Internet and integration of GIS, Internet and
visualization technologies visualization technologies ((00s00s))
Map Delivery/DevicesMap Delivery/Devices Map DisplayMap Display Geospatial Multimedia Geospatial Multimedia Virtual RealityVirtual Reality
Knock-your-socks-offKnock-your-socks-off
Spatial Database ManagementSpatial Database Management links computer links computer
mapping with database capabilities mapping with database capabilities ((80s80s) )
Computer MappingComputer Mapping automates the cartographic process automates the cartographic process ((70s70s))
Recall that Recall that in the beginningin the beginning we had… we had…
Mapping and Geo-queryMapping and Geo-query
(Berry)(Berry)……4 thrusts driving MMM4 thrusts driving MMM
4)4) Virtual RealityVirtual Reality
Rendered ScenesRendered Scenes
Multimedia MappingMultimedia Mapping (00’s)(00’s)
(Berry)(Berry)
…more on
GIS & VR
1)1) Map Delivery/DevicesMap Delivery/Devices
GPS/GIS Enabled GPS/GIS Enabled Devices and Devices and
Internet MappingInternet Mapping
<click>Crowd SourcingCrowd Sourcing
3)3) Geospatial MultimediaGeospatial Multimedia
Maps with Maps with IntegratedIntegrated
Photos Photos VideoVideo AudioAudio TextText DataData
<click>
Phone = Camera
2)2) Map DisplayMap Display
Interactive MapsInteractive Maps
Animated MapsAnimated Maps
<click><click>
<click>
Fly-byFly-by
Model OutputModel Output
Space Space and and TimeTime
3-D Visualization Approaches 3-D Visualization Approaches (Mega-Trend #4)(Mega-Trend #4)
Image DrapingImage Draping ---- is an established technique in GIS. Draping a is an established technique in GIS. Draping a topographic or thematic map onto a 3-D terrain surface is effective but topographic or thematic map onto a 3-D terrain surface is effective but relies on abstract colors, shading and symbols. relies on abstract colors, shading and symbols.
SportsTracker (SportsTracker (MapTrek, 1998)MapTrek, 1998)
““Map Abstraction”Map Abstraction”
(Berry)(Berry)
Landscape Visualization Landscape Visualization (3D Object Rendering)(3D Object Rendering)
Step 1) 3-D Terrain SurfaceStep 1) 3-D Terrain Surface Step 2) Polygon ContainersStep 2) Polygon Containers
““Laying the Carpet”Laying the Carpet”
Step 3) Surface TextureStep 3) Surface Texture
Step 5) Final CompositionStep 5) Final Composition Step 6) Atmospheric EffectsStep 6) Atmospheric EffectsStep 4) Tree ObjectsStep 4) Tree Objects
““Pouring the Trees”Pouring the Trees”
(Berry)(Berry)(See (See Beyond Mapping IIIBeyond Mapping III, “Topic 12”, , “Topic 12”, Landscape VisualizationLandscape Visualization, www.innovativegis.com/basis), www.innovativegis.com/basis)
Visualizing Landscape Impacts Visualizing Landscape Impacts (GIS Rendering)(GIS Rendering)
(Berry)(Berry)
Visualizing Landscape Impacts Visualizing Landscape Impacts (Clear cut)(Clear cut)
(Berry)(Berry)
Visualizing Landscape Impacts Visualizing Landscape Impacts (Water retention cut)(Water retention cut)
(Berry)(Berry)Virtual Forest Virtual Forest (Innovative GIS Solutions, 1998)(Innovative GIS Solutions, 1998)
Summer Summer (diseased)(diseased)
WinterWinter
After Snowfall After Snowfall (ski run)(ski run)
Visualizing Landscape ConditionsVisualizing Landscape Conditions
Before FireBefore Fire
(Berry)(Berry)
……changing the landscape’s changing the landscape’s carpetcarpet and and objects objects to simulate to simulate
different conditions—different conditions—
After FireAfter Fire
Virtual Forest Virtual Forest (Innovative GIS Solutions, 1998)(Innovative GIS Solutions, 1998)
Forest inventory data establishesForest inventory data establishes tree typestree types, stocking , stocking densitydensity and and maturitymaturity——
……replaces “old pastel colors and abstract symbols”replaces “old pastel colors and abstract symbols”
……modern Rendered Scenes modern Rendered Scenes approach photographic realismapproach photographic realism
World Construction Set World Construction Set (3D Nature, 2007)(3D Nature, 2007)
TODAY there is a big difference…
3D Objects3D Objects Virtual Forest Virtual Forest (Innovative GIS Solutions, 1998)(Innovative GIS Solutions, 1998)
Map AnalysisMap Analysis representation of relationships within representation of relationships within and among mapped data and among mapped data ((90s90s))
Spatial Analysis Spatial Analysis (Contextual)(Contextual) Spatial Statistics Spatial Statistics (Numerical)(Numerical)
Map-ematicsMap-ematics
Multimedia MappingMultimedia Mapping full full integration of GIS, Internet and integration of GIS, Internet and
visualization technologies visualization technologies ((00s00s))
Map Delivery/DevicesMap Delivery/Devices Map DisplayMap Display Geospatial Multimedia Geospatial Multimedia Virtual RealityVirtual Reality
Blow you awayBlow you away
Spatial Database ManagementSpatial Database Management links computer links computer
mapping with database capabilities mapping with database capabilities ((80s80s) )
Computer MappingComputer Mapping automates the cartographic process automates the cartographic process ((70s70s))
Recall that Recall that in the beginningin the beginning we had… we had…
Mapping and Geo-queryMapping and Geo-query
(Berry)(Berry)
Future Future DirectionsDirectionsWhere are we headed? Where are we headed?
Future DirectionsFuture Directions (2010 and beyond)(2010 and beyond)
Multimedia Mapping(2000s)
Revisit Analytics(2020s)
Revisit Geo-reference (2010s)
GIS Modeling (1990s)
Computer Mapping(1970s)
Spatial dB Mgt (1980s)
The Early YearsThe Early Years
Contemporary GISContemporary GIS
Future DirectionsFuture Directions
Mapping focusMapping focus
Data/Structure focusData/Structure focus
Analysis focusAnalysis focus
(Berry)(Berry)(See Beyond Mapping III, “Topic 27”, (See Beyond Mapping III, “Topic 27”, GIS Evolution and Future TrendsGIS Evolution and Future Trends, www.innovativegis.com/basis), www.innovativegis.com/basis)
Dominant Driving Forces Dominant Driving Forces (three game changers) (three game changers)
Alternative Geographic Referencing Alternative Geographic Referencing (3D GIS) — (3D GIS) — our current “rectangular-based” our current “rectangular-based” coordinate system will be replaced by a 3-dimensional coordinate system of columns (X), rows (Y), coordinate system will be replaced by a 3-dimensional coordinate system of columns (X), rows (Y), and verticals (Z) defining an imaginary matrix of grid elementsand verticals (Z) defining an imaginary matrix of grid elements
(Berry)(Berry)
Universal Spatial Key Universal Spatial Key — — use of the new referencing system to automatically join all use of the new referencing system to automatically join all databases by serving as a “spatially-enabled” databases by serving as a “spatially-enabled” Universal KeyUniversal Key (Implicit Spatial Topology)(Implicit Spatial Topology)
Boutique to Big BoxBoutique to Big Box — — a continued movement of GIS from a “boutique discipline” to a continued movement of GIS from a “boutique discipline” to increased mainstream use and subsequent redefinition of increased mainstream use and subsequent redefinition of What GIS IsWhat GIS Is and and Industry LeadersIndustry Leaders
CAD, dBase and CAD, dBase and Visualization IndustriesVisualization Industries
…etc.
……sort of like a three-sort of like a three-dimensional UTM dimensional UTM
grid cell (1 mgrid cell (1 m22))
……but this is going to take but this is going to take a bit more explanationa bit more explanation, after we consider the other two driving forces , after we consider the other two driving forces laterlater
…etc.
GIS IndustryGIS Industry
Today
Tomorrow
Geographic Referencing Geographic Referencing (Traditional 2D GIS) (Traditional 2D GIS)
(Berry)(Berry)
Cartesian Coordinate SystemCartesian Coordinate System (X, Y, and Z)(X, Y, and Z) — — both the traditional 2-D map and virtual both the traditional 2-D map and virtual reality’s 3-D visualization view the reality’s 3-D visualization view the earth as a surfaceearth as a surface——
……flattened to a pancake or curved and wrinkled a bit to reflect the surficial topography of an areaflattened to a pancake or curved and wrinkled a bit to reflect the surficial topography of an area
… intersection with a mathematically inferred spheroid/ellipsoid/geoid/datum
establishes the Height (Z) from the center of the earth to any point on the earth’s surface`
… intersection with a mathematically inferred spheroid/ellipsoid/geoid/datum
establishes the Height (Z) from the center of the earth to any point on the earth’s surface`
VectorVector
Discrete Spatial Discrete Spatial Objects (vector) — Objects (vector) —
Point Point (X,Y) as (X,Y) as fundamental unitfundamental unit
Points, Lines , AreasPoints, Lines , Areas
RasterRaster Continuous Continuous
Surfaces (grid)Surfaces (grid) ——
Cell Cell (Col,Row) as (Col,Row) as fundamental unitfundamental unit
Points, Lines , Areas Points, Lines , Areas SurfacesSurfaces
…flatten a 3D referencingsystem to a 2D projection
Alternative Grid Elements Alternative Grid Elements (Hexagon and Dodecahedral) (Hexagon and Dodecahedral)
2D Grid Element(Planimetric)
Square
3D Grid Element(Volumetric)
Cube
Consistent
distances and adjacency to surrounding grid elements
Consistent
distances and adjacency to surrounding grid elements
Inconsistent
distances and adjacency to surrounding grid elements
(Orthogonal and Diagonal)
Inconsistent
distances and adjacency to surrounding grid elements
(Orthogonal and Diagonal)
Tightly Clustered GroupingsContinuously Nested Grid Elements
Cubic Grid
(26 facets)
Square Grid
(8 facets)
(Berry)(Berry)
HexagonalGrid
(6 facets) Hexagon
DodecahedralGrid
(12 facets)Dodecahedral
(Berry)(Berry)
1) 1) What GIS Is …and Is NotWhat GIS Is …and Is NotSlides 2-3Slides 2-3
2) 2) Nature of Grid-based Mapped DataNature of Grid-based Mapped DataSlides 4-7Slides 4-7
3) 3) Map Analysis and ModelingMap Analysis and ModelingSlides 9-16Slides 9-16
4) 4) Multimedia MappingMultimedia MappingSlides 18-24Slides 18-24 5) 5) Where Is GIS HeadedWhere Is GIS Headed
Slides 4-7Slides 4-7PowerPoint posted at www.innovativegis.com/basis/Present/Oslo2010/Oslo_Sep2010.ppt
Where Have We BeenWhere Have We Been
www.innovativegis.com/basiswww.innovativegis.com/basis ... online papers, materials, books and software... online papers, materials, books and software
Map Analysis Map Analysis a self-instructional book a self-instructional book
and Software and Software for hands-on exercisesfor hands-on exercises
(US$45.00 plus S/H)(US$45.00 plus S/H)
Beyond Mapping Beyond Mapping an online book an online book (free)(free)
PowerPoint posted at …
www.innovativegis.com/basis/Present/Oslo2010/Oslo_Sep2010.ppt
Email: [email protected]: [email protected]
Opportunities to Go FartherOpportunities to Go Farther