Spatial Statistics Operations Spatial Analysis Operations Reclassify and Overlay Distance and Neighbors GISer’s Perspective: Surface Modeling Spatial Data.

Slides:



Advertisements
Similar presentations
Grid-based Map Analysis Techniques and Modeling Workshop Part 1 – Maps as Data Part 2– Surface Modeling Part 3 – Spatial Data Mining Part 4 – Spatial.
Advertisements

Introductory Workshop on Grid-based Map Analysis Techniques and Modeling Presentation by Joseph K. Berry Joseph K. Berry W.M. Keck Scholar in Geosciences,
WFM 6202: Remote Sensing and GIS in Water Management © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 6202: Remote Sensing and GIS in Water Management Akm.
Raster Based GIS Analysis
CS 128/ES Lecture 12b1 Spatial Analysis (3D)
Border around project area Everything else is hardly noticeable… but it’s there Big circles… and semi- transparent Color distinction is clear.
CS 128/ES Lecture 12b1 Spatial Analysis (3D)
Using ESRI ArcGIS 9.3 Arc ToolBox 3 (Spatial Analyst)
Geographic Information Systems
Geographic Information Systems. What is a Geographic Information System (GIS)? A GIS is a particular form of Information System applied to geographical.
So What is GIS??? “A collection of computer hardware, software and procedures that are used to organize, manage, analyze and display.
Dr. David Liu Objectives  Understand what a GIS is  Understand how a GIS functions  Spatial data representation  GIS application.
Joseph K. Berry CSU Alumnus, MS in Business Management ’72 and PhD emphasizing Remote Sensing ‘76 W.M. Keck Scholar in Geosciences, University of Denver.
Slope and Aspect Calculated from a grid of elevations (a digital elevation model) Slope and aspect are calculated at each point in the grid, by comparing.
Joseph K. Berry, SpatialSTEM
Title: Spatial Data Mining in Geo-Business. Overview  Twisting the Perspective of Map Surfaces — describes the character of spatial distributions through.
Introduction to GIS Modeling Week 3 — Reclassifying and Overlaying Maps GEOG 3110 –University of Denver Suitability Modeling Logic; Reclassifying Maps;
SpatialSTEM: A Mathematical Structure for Communicating and Teaching Fundamental Concepts in Spatial Reasoning, Map Analysis and Modeling Presented by.
Introduction to GIS Modeling Week 9 — Spatial Data Mining GEOG 3110 –University of Denver Presented by Joseph K. Berry W. M. Keck Scholar, Department.
DU GIS Modeling -- Surface Modeling/Analysis
Presentation by Joseph K. Berry W.M. Keck Scholar in Geosciences, University of Denver Adjunct Faculty in Natural Resources, Colorado State University.
Joseph K. Berry, MGUG 2014 Opening
Part 3) Spatial Statistics. Spatial Statistics involves quantitative analysis of the “numerical context” of mapped data, such as characterizing the geographic.
Spatial Analysis.
Part 3) Spatial Statistics. Spatial Statistics involves quantitative analysis of the “numerical context” of mapped data, such as characterizing the geographic.
Future Directions of Map Analysis and GIS Modeling: …where we are headed and how we get there Presentation by Joseph K. Berry Adjunct Faculty in Natural.
Introduction to GIS Modeling Week 3 — Reclassifying and Overlaying Maps GEOG 3110 –University of Denver Suitability Modeling Logic Reclassifying Maps.
SpatialSTEM: A Mathematical/Statistical Framework for Understanding and Communicating Map Analysis and Modeling Presented by Joseph K. Berry Adjunct Faculty.
Presented by Joseph K. Berry Adjunct Faculty in Geosciences, Department of Geography, University of Denver Adjunct Faculty in Natural Resources, Warner.
Traditional Statistics Mean, StDev (Normal Curve) Mean, StDev (Normal Curve) Central Tendency Central Tendency Typical Response (scalar) Typical Response.
Intro to Raster GIS GTECH361 Lecture 11. CELL ROW COLUMN.
Traditional Statistics Mean, StDev (Normal Curve) Mean, StDev (Normal Curve) Central Tendency Central Tendency Typical Response (scalar) Typical Response.
Data Types Entities and fields can be transformed to the other type Vectors compared to rasters.
Presentation by Joseph K. Berry W.M. Keck Scholar in Geosciences, University of Denver Adjunct Faculty in Natural Resources, Colorado State University.
SpatialSTEM: A Mathematical/Statistical Framework for Understanding and Communicating Map Analysis and Modeling Presented by Joseph K. Berry Adjunct Faculty.
Chapter 8 – Geographic Information Analysis O’Sullivan and Unwin “ Describing and Analyzing Fields” By: Scott Clobes.
An example application in GIS Modeling Presentation and hands-on exercise materials prepared by Joseph K. Berry Keck Scholar in Geosciences, University.
Introduction to GIS Modeling Week 3 — Reclassifying and Overlaying Maps GEOG 3110 –University of Denver Suitability Modeling Logic Reclassifying Maps.
Raster Analysis. Learning Objectives Develop an understanding of the principles underlying lab 4 Introduce raster operations and functions Show how raster.
Figure 2-1. Two different renderings (categorizations) of corn yield data. Analyzing Precision Ag Data – text figures © 2002, Joseph K. Berry—permission.
Analyzing Precision Ag Data : Intermediate workshop on what is needed to move Precision Agriculture beyond mapping Joseph K. Berry W. M. Keck Visiting.
Introduction to GIS Modeling Week 8 — Surface Modeling GEOG 3110 –University of Denver Presented by Joseph K. Berry W. M. Keck Scholar, Department of.
SpatialSTEM: A Mathematical/Statistical Framework for Understanding and Communicating Grid-based Map Analysis and Modeling Presented by Joseph K. Berry.
Part 4) Future Directions. Most GIS technology has deep roots in manual mapping and geo-query procedures involving discrete spatial objects— continuous.
NR 143 Study Overview: part 1 By Austin Troy University of Vermont Using GIS-- Introduction to GIS.
Part 4) Future Directions. Most GIS technology has deep roots in manual mapping and geo-query procedures involving discrete spatial objects— continuous.
Introduction to GIS Modeling Week 7 — GIS Modeling Examples GEOG 3110 –University of Denver Presented by Joseph K. Berry W. M. Keck Scholar, Department.
Grid-based Map Analysis Techniques and Modeling Workshop
An Analytic Framework for GIS Modeling (Berry) The Analysis Frame provides consistent “parceling” needed for map analysis and extends discrete point,
A Map-ematical Framework for Quantitative Analysis of Mapped Data …Map Analysis and GIS Modeling for Understanding and Communicating Spatial Patterns.
SpatialSTEM: A Mathematical/Statistical Framework for Understanding and Communicating Map Analysis and Modeling Presented by Joseph K. Berry Adjunct Faculty.
Statistical Surfaces Any geographic entity that can be thought of as containing a Z value for each X,Y location –topographic elevation being the most obvious.
Geotechnology Geotechnology – one of three “mega-technologies” for the 21 st Century Global Positioning System (Location and navigation) Remote Sensing.
Presented by Joseph K. Berry Adjunct Faculty in Geosciences, Department of Geography, University of Denver Adjunct Faculty in Natural Resources, Warner.
Presentation by Joseph K. Berry W.M. Keck Scholar in Geosciences, University of Denver Adjunct Faculty in Natural Resources, Colorado State University.
© 2005, Joseph K. Berry—permission to copy granted Figure P-1. Spatial Analysis and Spatial Statistics are extensions of traditional ways of analyzing.
GIS Modeling Week 2 — Maps as Data GEOG 3110 –University of Denver Points, lines, polygons and surfaces; Discrete vs. Continuous data; Map data types.
Special Topics in Geo-Business Data Analysis Week 3 Covering Topic 6 Spatial Interpolation.
Zakaria A. Khamis GE 2110 GEOGRAPHICAL STATISTICS GE 2110.
Grid-based Map Analysis Techniques and Modeling Workshop Part 1 – Maps as Data Part 2– Surface Modeling Part 3 – Spatial Data Mining Linking geographic.
Part 3) Spatial Statistics. Spatial Statistics involves quantitative analysis of the “numerical context” of mapped data, such as characterizing the geographic.
Map Analysis and Modeling in Forestry’s Future: …where we are headed and how we can get there Joseph K. Berry presentation by Joseph K. Berry.
DU GIS Modeling -- Surface Modeling/Analysis
Joseph K. Berry, SpatialSTEM
Statistical surfaces: DEM’s
Joseph K. Berry, SpatialSTEM
Joseph K. Berry, SpatialSTEM
Special Topics in Geo-Business Data Analysis
Spatial interpolation
Presentation transcript:

Spatial Statistics Operations Spatial Analysis Operations Reclassify and Overlay Distance and Neighbors GISer’s Perspective: Surface Modeling Spatial Data Mining GISer’s Perspective: Grid-based Map Analysis Toolbox Mathematician’s Perspective: Basic GridMath & Map Algebra Advanced GridMath Map Calculus Map Geometry Plane Geometry Connectivity Solid Geometry Connectivity Unique Map Analytics Statistician’s Perspective: Basic Descriptive Statistics Basic Classification Map Comparison Unique Map Statistics Surface Modeling Advanced Classification Predictive Statistics A Mathematical Structure for Map Analysis/Modeling Maps as Data, not Pictures Vector & Raster — Aggregated & Disaggregated Qualitative & Quantitative “Map-ematics” …organized set of numbers Map Stack The SpatialSTEM Framework Traditional math/stat procedures can be extended into geographic space to stimulate those with diverse backgrounds and interests for… “thinking analytically with maps” Mapping/Geo-Query (Discrete, Spatial Objects) (Continuous, Map Surfaces ) Map Analysis/Modeling Technological ToolAnalytical Tool Geotechnology  RS – GIS – GPS Geo-registered Analysis Frame  Matrix of Numbers

The integral calculates the area under the curve for any section of a function. Curve Map Calculus — Spatial Derivative, Spatial Integral Advanced Grid Math — Math, Trig, Logical Functions Spatial Integral Surface COMPOSITE Districts WITH MapSurface Average FOR MapSurface_Davg MapSurface_D avg …summarizes the values on a surface for specified map areas (Total= volume under the surface) Slope draped over MapSurface 0% 65% Spatial Derivative …is equivalent to the slope of the tangent plane at a location SLOPE MapSurface Fitted FOR MapSurface_slope Fitted Plane Surface 500’ 2500’ MapSurface Advanced Grid Math Surface Area …increases with increasing inclination as a Trig function of the cosine of the slope angle S_Area= Fn(Slope) Spatial Analysis Operations (Math Examples) D z xy Elevation S_area= cellsize / cos(D z xy Elevation) ʃ Districts_Average Elevation Curve The derivative is the instantaneous “rate of change” of a function and is equivalent to the slope of the tangent line at a point (Berry)

Spatial Statistics (Linking Data Space with Geographic Space) Continuous Map Surface Spatial Distribution Surface Modeling techniques are used to derive a continuous map surface from discrete point data– fits a Surface to the data (maps the variation). Geo-registered Sample Data Discrete Sample Map Spatial Statistics Histogram In Geographic Space, the typical value forms a horizontal plane implying the average is everywhere to form a horizontal plane X= 22.6 (Berry) …lots of NE locations exceed Mean + 1Stdev X + 1StDev = = 48.8 Unusually high values +StDev Average Standard Normal Curve Average = 22.6 Numeric Distribution StDev = 26.2 (48.8) Non-Spatial Statistics In Data Space, a standard normal curve can be fitted to the data to identify the “typical value” (average) Roving Window (weighted average)

Analysis Frame Col 3, Row 22 The Analysis Frame provides consistent “parceling” needed for map analysis and extends discrete Points, Lines and Polygons… Col 1, Row 1 Origin Col 1, Row 1 Origin 3D Surface (stair steps) Grid A Grid Map consists of a matrix of numbers with a value indicating the characteristic/condition at each grid cell location— Raster (continuous) Grid Data Structure Contour Lines Intervals Vector (discrete) Elevation Contour Interval ’ 3D Surface (gradient) …to continuous Map Surfaces Map Stack …forming a set of geo-registered Map Layers or “Map Stack” Data listing for a Map Stack Drill-down