Spatio-temporal models
|
|
- Maximilian Snow
- 5 years ago
- Views:
Transcription
1 Spatio-temporal models Involve a least a three dimensional representation of one or more key attribute variation in planar (X-Y) space and through time. (a 4 th dimension could also be use, like Z for modeling a vertical direction) Continuous fields - e.g. temperature, soil ph Discontinuous objects e.g. land cover type Process based e.g. hydrologic cycle Purely fit model Spatio-temporal models Deterministic Same output from same input Stochastic Some random generation process, to capture chaos in systems Spatio-temporal hydrologic models Predicting fluctuation in soil moisture, lake/ stream levels or discharge over time Often depends on DEM information (slope, aspect) to determine flow direction Examples of other data: Precipitation, solar radiation, surface evaporation, transpiration, infiltration, vegetation, etc Mathematical functions describing cell-specific precipitation and discharge could be combined to predict the flow quantity at points in the network Example spatio-temporal model
2 Individual Process Models (Agent-based Models) Behavior of a set of agents are coded, and respond to a spatial neighborhood Spatial environment created, typically through a stack of GIS layers Model runs identify the impact of various behavioral relationships or rules on individual and aggregate action Output may be analyzed statistically, to identify important emergent properties, or as a decision support tool Sortie Spatially explicit, stochastic model of forest dynamics Individual light interactions drive growth Growth drives gap mortality and gap formation Gaps affect reproduction Pacala, 1993;
3 Cellular Automatons - Raster Automata in a Vector Domain
4 Mobile Automata - Rules of Movement and Action Random walk with variation in X Directed movement with spatial behavior Mobile Automata on a Variable Surface Traffic: Boids: Summary for 2-D Spatio-temporal Models Statistical, point models applied spatially to estimate continuous surface (e.g., USLE erosion). Process models, in both continuous and discrete forms, with interacting neighborhoods (WEPP erosion and transport) Discrete, individual focus models in continuous or discrete spatial domains
5 Lecture Ques*ons Discussion A.) Have County File and a polluted well point file; What county is the Well in? Name: What B.) Have road file and stream file; What roads are within 10 meters of a stream? C.) Have Orthophoto of park area; what is the length of paved roads in park? D.) Have dwelling loca*ons polygon files for both 1950 and 2009; how many houses were build aper 1950? E.) Have classified landcover file of a county and also a city boundary file; How much green space is in each city? F.) Have DEM and a landcover file showing dominant tree species; Where should you look for very slow growing White or Black Spruce trees? Discussion A.) Have County File and a polluted well point file; What county is the Well in? B.) Have road file and stream file; What roads are within 10 meters of a stream? C.) Have Orthophoto of park area; what is the length of paved roads in park? D.) Have dwelling loca*ons polygon files for both 1950 and 2009; how many houses were build aper 1950? E.) Have classified landcover file of a county and also a city boundary file; How much green space is in each city? F.) Have DEM and a landcover file showing dominant tree species; Where should you look for very slow growing White or Black Spruce trees? What Opera1on (s) to Intersect Buffer roads, buffer streams; intersect Digi*zed paved roads and calculate geometry Create binary fields in both files, union and find the in 2009 not in 1950 Union, reclassify & summarize by city Calculate slope & aspect; select steep & north slopes; intersect, convert to polygon; reclassify landcover and dissolve; intersect with north slopes
Raster Analysis: An Example
Raster Analysis: An Example Fires (1 or 4) Slope (1-4) + Geology (1-4) Erosion Ranking (3-12) 1 Typical Raster Model Types: Suitability Modeling: Where is optimum location? Distance Modeling: What is the
More informationRaster Analysis; A Yellowstone Example 3/29/2018
Fires (1 or 4) Typical Raster Model Types: Raster Analysis: An Example Suitability Modeling: Where is optimum location? Distance Modeling: What is the most efficient path from A to B? + Slope (1-4) Geology
More informationRaster Analysis; A Yellowstone Example 10/24/2013. M. Helper GEO327G/386G, UT Austin 2. M. Helper GEO327G/386G, UT Austin 4
+ Fires (1 or 4) Slope (1-4) Geology (1-4) Erosion Ranking (3-12) Raster Analysis: An Example Typical Raster Model Types: Suitability Modeling: Where is optimum location? Distance Modeling: What is the
More informationChapter 6. Fundamentals of GIS-Based Data Analysis for Decision Support. Table 6.1. Spatial Data Transformations by Geospatial Data Types
Chapter 6 Fundamentals of GIS-Based Data Analysis for Decision Support FROM: Points Lines Polygons Fields Table 6.1. Spatial Data Transformations by Geospatial Data Types TO: Points Lines Polygons Fields
More informationRaster Analysis: An Example
Raster Analysis: An Example Fires (1 or 4) Slope (1-4) + Geology (1-4) Erosion Ranking (3-12) 11/8/2016 GEO327G/386G, UT Austin 1 Typical Raster Model Types: Suitability Modeling: Where is optimum location?
More informationFire Susceptibility Analysis Carson National Forest New Mexico. Can a geographic information system (GIS) be used to analyze the susceptibility of
1 David Werth Fire Susceptibility Analysis Carson National Forest New Mexico Can a geographic information system (GIS) be used to analyze the susceptibility of Carson National Forest, New Mexico to forest
More informationIntroduction-Overview. Why use a GIS? What can a GIS do? Spatial (coordinate) data model Relational (tabular) data model
Introduction-Overview Why use a GIS? What can a GIS do? How does a GIS work? GIS definitions Spatial (coordinate) data model Relational (tabular) data model intro_gis.ppt 1 Why use a GIS? An extension
More informationErosion Susceptibility in the area Around the Okanogan Fire Complex, Washington, US
Erosion Susceptibility in the area Around the Okanogan Fire Complex, Washington, US 1. Problem Construct a raster that represents susceptibility to erosion based on lithology, slope, cover type, burned
More informationConservation Planning evaluate land management alternatives to reduce soil erosion to acceptable levels. Resource Inventories estimate current and
Conservation Planning evaluate land management alternatives to reduce soil erosion to acceptable levels. Resource Inventories estimate current and projected erosion levels and their impact on natural resource
More informationIntroduction to GIS I
Introduction to GIS Introduction How to answer geographical questions such as follows: What is the population of a particular city? What are the characteristics of the soils in a particular land parcel?
More informationOutcrop suitability analysis of blueschists within the Dry Lakes region of the Condrey Mountain Window, North-central Klamaths, Northern California
Outcrop suitability analysis of blueschists within the Dry Lakes region of the Condrey Mountain Window, North-central Klamaths, Northern California (1) Introduction: This project proposes to assess the
More informationGeog 469 GIS Workshop. Data Analysis
Geog 469 GIS Workshop Data Analysis Outline 1. What kinds of need-to-know questions can be addressed using GIS data analysis? 2. What is a typology of GIS operations? 3. What kinds of operations are useful
More informationWhich map shows the stream drainage pattern that most likely formed on the surface of this volcano? A) B)
1. When snow cover on the land melts, the water will most likely become surface runoff if the land surface is A) frozen B) porous C) grass covered D) unconsolidated gravel Base your answers to questions
More informationAlaska, USA. Sam Robbins
Using ArcGIS to determine erosion susceptibility within Denali National Park, Alaska, USA Sam Robbins Introduction Denali National Park is six million acres of wild land with only one road and one road
More informationHuron Creek Watershed 2005 Land Use Map
Huron Creek Watershed 2005 Land Use Map Created By: Linda Kersten, 12/20/06 Created For: MTU Introduction to GIS Class (FW 5550) The Huron Creek Watershed Advisory Committee Michigan Technological University,
More informationTropics & Sub-Tropics. How can predictive approaches be improved: Data Sparse Situations
Tropics & Sub-Tropics How can predictive approaches be improved: Data Sparse Situations 1. Protocol for catchment function diagnostics and model setup. Use of a decision tree as a preliminary stage to
More informationMidterm Exam : Answer
Midterm Exam : Answer Create a double-spaced document with answers to the questions below. File Name: LASTNAME_Midterm.pdf Make sure to include your Name, UWNetID, course number, quarter and year, and
More informationENGRG Introduction to GIS
ENGRG 59910 Introduction to GIS Michael Piasecki May 1, 2014 Lecture 13: GIS Modeling and Programming Spatial Modeling and Programming The slides about GIS modeling in this lecture are prepared by Dr.
More informationCell-based Model For GIS Generalization
Cell-based Model For GIS Generalization Bo Li, Graeme G. Wilkinson & Souheil Khaddaj School of Computing & Information Systems Kingston University Penrhyn Road, Kingston upon Thames Surrey, KT1 2EE UK
More informationZonal Analysis: A GIS lecture tutorial. Prof. Yuji MURAYAMA, PhD. Mr. Ronald C. ESTOQUE, MSc.
1 Zonal Analysis: A GIS lecture tutorial Prof. Yuji MURAYAMA, PhD. Mr. Ronald C. ESTOQUE, MSc. 2011 Contents, Data & Software Used Contents 2 1. Introduction 2. Basic concepts & definitions 3. Zonal analysis
More informationNCTCOG GIS File Locations
Boundaries Area Codes k:\bnd\region\area_codes.shp Area Type k:\bnd\region\areatype.shp Ciry Centroids (World) k:\bnd\usa_world\cities.shp City Centroids (NCTCOG Region) k:\bnd\region\city_point.shp vector.vector.bnd_city_point
More informationCOMMON GIS TECHNIQUES FOR VECTOR AND RASTER DATA PROCESSING. Ophelia Wang, Department of Geography and the Environment, University of Texas
COMMON GIS TECHNIQUES FOR VECTOR AND RASTER DATA PROCESSING Ophelia Wang, Department of Geography and the Environment, University of Texas PART I: BASIC VECTOR TOOLS CLIP A FEATURE BASED ON THE EXTENT
More informationProtocol for Prioritizing Conservation Opportunity Areas in Centre County and Clinton County
Protocol for Prioritizing Conservation Opportunity Areas in Centre County and Clinton County Chesapeake Conservancy has developed this methodology to prioritize conservation opportunity areas in Centre
More informationSF House Site Suitability
SF House Site Suitability Rick Waterman Geog621-13 12/9/04 For my final project I chose to create a site suitability model for a house in San Francisco. Being a new resident to San Francisco, I was interested
More informationEvaluation of gvsig and SEXTANTE Tools for Hydrological Analysis
Evaluation of gvsig and SEXTANTE Tools for Hydrological Analysis 6th gvsig Conference, Valencia, SPAIN Prof. Dr-Ing Dietrich Schrödera Mudogah Hildahb and Franz Davidb Stuttgart University of Applied Sciences
More informationPierce Cedar Creek Institute GIS Development Final Report. Grand Valley State University
Pierce Cedar Creek Institute GIS Development Final Report Grand Valley State University Major Goals of Project The two primary goals of the project were to provide Matt VanPortfliet, GVSU student, the
More informationRemote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI
Remote Sensing and GIS Applications for Hilly Watersheds SUBASHISA DUTTA DEPARTMENT OF CIVIL ENGINEERING IIT GUWAHATI Deciding Alternative Land Use Options in a Watershed Using GIS Source: Anita Prakash
More informationIdentifying Wildfire Risk Areas in Western Washington State
Identifying Wildfire Risk Areas in Western Washington State Matthew Seto University of Washington Tacoma GIS Certification Program URISA 2015 Undergraduate Geospatial Skills Competition Introduction 2014
More informationMidterm Exam. 2) What are three important things to keep in mind when selecting colors for a map? (5)
Midterm Exam File Name: LASTNAME_Midterm.pdf Make sure to include your Name, UWNetID, course number, and quarter and year, on the document (points will be deducted if you have not identified your work).
More informationFSUTMS Framework for Integrating Land Use Modeling
FSUTMS Framework for Integrating Land Use Modeling presented to MTF Data Committee presented by Wade L. White, Whitehouse Group Walter Anderson, Whitehouse Group March 6, 2012 Agenda Background Previous
More informationClassification of Erosion Susceptibility
GEO327G: GIS & GPS Applications in Earth Sciences Classification of Erosion Susceptibility Denali National Park, Alaska Zehao Xue 12 3 2015 2 TABLE OF CONTENTS 1 Abstract... 3 2 Introduction... 3 2.1 Universal
More informationDevelopment of a GIS Interface for WEPP Model Application to Great Lakes Forested Watersheds
Development of a GIS Interface for WEPP Model Application to Great Lakes Forested Watersheds J.R. Frankenberger 1, S. Dun 2, D.C. Flanagan 1, J.Q. Wu 2, W.J. Elliot 3 1 USDA-ARS, West Lafayette, IN 2 Washington
More information12 10 8 6 4 2 0 40-50 50-60 60-70 70-80 80-90 90-100 Fresh Water What we will cover The Hydrologic Cycle River systems Floods Groundwater Caves and Karst Topography Hot springs Distribution of water in
More informationEagle Creek Post Fire Erosion Hazard Analysis Using the WEPP Model. John Rogers & Lauren McKinney
Eagle Creek Post Fire Erosion Hazard Analysis Using the WEPP Model John Rogers & Lauren McKinney Columbia River Gorge at Risk: Using LiDAR and GIS-based predictive modeling for regional-scale erosion susceptibility
More informationSRJC Applied Technology 54A Introduction to GIS
SRJC Applied Technology 54A Introduction to GIS Overview Lecture of Geographic Information Systems Fall 2004 Santa Rosa Junior College Presented By: Tim Pudoff, GIS Coordinator, County of Sonoma, Information
More informationTransactions on Information and Communications Technologies vol 18, 1998 WIT Press, ISSN
STREAM, spatial tools for river basins, environment and analysis of management options Menno Schepel Resource Analysis, Zuiderstraat 110, 2611 SJDelft, the Netherlands; e-mail: menno.schepel@resource.nl
More informationName: KEY OBJECTIVES HYDROLOGY:
Name: KEY OBJECTIVES Correctly define: abrasion, capillarity, deposition, discharge, erosion, evapotranspiration, hydrology, impermeable, infiltration, meander, permeable, porosity, water table, weathering,
More informationLesson 9 and 10: Final Project. by Diana Jo Lau
Lesson 9 and 10: Final Project by Diana Jo Lau Introduction Acme Conservation Unlimited conducted a site selection analysis of conservation areas meeting specific criteria. The results of our analysis
More informationBASIC SPATIAL ANALYSIS TOOLS IN A GIS. data set queries basic statistics buffering overlay reclassification
BASIC SPATIAL ANALYSIS TOOLS IN A GIS data set queries basic statistics buffering overlay reclassification GIS ANALYSIS TOOLS GIS ANALYSIS TOOLS Database tools: query and summarize (similar to spreadsheet
More information13 Watershed Delineation & Modeling
Module 4 (L12 - L18): Watershed Modeling Standard modeling approaches and classifications, system concept for watershed modeling, overall description of different hydrologic processes, modeling of rainfall,
More informationPotential Restorable Wetlands (PRWs):
ASWM Webinar Sept. 17, 2014 Potential Restorable Wetlands (PRWs): Working definition: wetland hydrology and soils minus presently mapped wetlands for the re-establishment of wetlands Hydric Soil Query
More informationENGRG Introduction to GIS
ENGRG 59910 Introduction to GIS Michael Piasecki March 17, 2014 Lecture 08: Terrain Analysis Outline: Terrain Analysis Earth Surface Representation Contour TIN Mass Points Digital Elevation Models Slope
More informationFreshwater. 1. The diagram below is a cross-sectional view of rain falling on a farm field and then moving to the water table.
Name: ate: 1. The diagram below is a cross-sectional view of rain falling on a farm field and then moving to the water table. 3. Which conditions produce the most surface water runoff? A. steep slope,
More informationSpatial Modeling Approaches & Considerations Class #12. Major Elements: Complexity Theory. Complexity Theory: Theoretical Context
Spatial Modeling Approaches & Considerations Class #12 Complexity theory Non linear system dynamics Emergence Complex adaptive systems Spatial simulations What if scenarios Extend in space & time and conditions
More informationRaster Spatial Analysis Specific Theory
RSATheory.doc 1 Raster Spatial Analysis Specific Theory... 1 Spatial resampling... 1 Mosaic... 3 Reclassification... 4 Slicing... 4 Zonal Operations... 5 References... 5 Raster Spatial Analysis Specific
More informationA GIS View of Hydrology
Quantitative Elements of Hydrology A GIS View of Hydrology Contact information: Jack Hermance Environmental Geophysics/Hydrology Department of Geological Sciences Brown University, Providence, RI 02912-1846
More informationThe Invasion of False Brome in Western Oregon
The Invasion of False Brome in Western Oregon GIS II Presentation Winter 2006 Will Fellers Kurt Hellerman Kathy Strope Statia Cupit False Brome (Brachypodium sylvaticum) Perennial bunchgrass native to
More informationSWAMP GIS: A spatial decision support system for predicting and treating stormwater runoff. Michael G. Wing 1 * and Derek Godwin
Journal of Spatial Hydrology Vol. 11, No. 2 Fall 2011 SWAMP GIS: A spatial decision support system for predicting and treating stormwater runoff Michael G. Wing 1 * and Derek Godwin Abstract SWAMP GIS
More informationComponents of the Climate System. Lecture 2: Earth s Climate System. Pop Quiz. Sub-components Global cycles What comes in What goes out
Lecture 2: Earth s Climate System Components of the Climate System terrestrial radiation Atmosphere Ocean solar radiation Land Energy, Water, and Biogeochemistry Cycles Sub-components Global cycles What
More informationWatershed Application of WEPP and Geospatial Interfaces. Dennis C. Flanagan
Watershed Application of WEPP and Geospatial Interfaces Dennis C. Flanagan Research Agricultural Engineer USDA-Agricultural Research Service Adjunct Professor Purdue Univ., Dept. of Agric. & Biol. Eng.
More informationSpatial Analyst. By Sumita Rai
ArcGIS Extentions Spatial Analyst By Sumita Rai Overview What does GIS do? How does GIS work data models Extension to GIS Spatial Analyst Spatial Analyst Tasks & Tools Surface Analysis Surface Creation
More informationGRASS COVER CHANGE MODEL BASED ON CELLULAR AUTOMATA
GRASS COVER CHANGE MODEL BASED ON CELLULAR AUTOMATA Shuai Zhang *, Jingyin Zhao, Linyi Li Digital Agricultural Engineering Technological Research Center, Shanghai Academy of Agricultural Sciences, Shanghai,
More informationSPATIAL AND TEMPORAL MODELLING OF ECOSYSTEM SERVICES
SPATIAL AND TEMPORAL MODELLING OF ECOSYSTEM SERVICES Solen Le Clec h, T.Decaëns, S. Dufour, M. Grimaldi, N. Jégou and J. Oszwald ACES Conference 2016 Jacksonville, Florida (USA). December, 5-9th : issues
More informationflow and ways: a storm
Flow Tell Us? Chicago River Classroom Activity Summary In this lesson, students will examine historic stream flow data to understand how stream flow has changed over time. Students will then hypothesize
More informationLecture 2: Earth s Climate System
Lecture 2: Earth s Climate System terrestrial radiation solar radiation Atmosphere Ocean Solid Earth Land Energy, Water, and Biogeochemistry Cycles Sub-components Global cycles What comes in What goes
More informationOutline. Geographic Information Analysis & Spatial Data. Spatial Analysis is a Key Term. Lecture #1
Geographic Information Analysis & Spatial Data Lecture #1 Outline Introduction Spatial Data Types: Objects vs. Fields Scale of Attribute Measures GIS and Spatial Analysis Spatial Analysis is a Key Term
More informationGIS for ChEs Introduction to Geographic Information Systems
GIS for ChEs Introduction to Geographic Information Systems AIChE Webinar John Cirucci 1 GIS for ChEs Introduction to Geographic Information Systems What is GIS? Tools and Methods Applications Examples
More informationCatchment modelling using PIHMgis By Harish Sangireddy The University of Texas at Austin
Catchment modelling using PIHMgis By Harish Sangireddy The University of Texas at Austin Contents Goals:... 2 Introduction:... 2 PIHM and contribution to the NFIE hydro... 2 Study Site: Onion Creek...
More informationArchaeological Predictive Modeling within the context of Paleo-river Terraces in the City of Prince George
Archaeological Predictive Modeling within the context of Paleo-river Terraces in the City of Prince George Background The documented pre-contact archaeological record of the Interior Plateau of B.C. is
More informationSuitability Analysis on Second Home Areas Selection in Smithers British Columbia
GEOG 613 Term Project Suitability Analysis on Second Home Areas Selection in Smithers British Columbia Zhengzhe He November 2005 Abstract Introduction / background Data Source Data Manipulation Spatial
More informationA landscape characterization method for the Uusimaa region + identification of potential use for GIS
A landscape characterization method for the Uusimaa region + identification of potential use for GIS Methodology: Updating the Finnish method The key finding The scope of characterization methods are limited
More informationLecture 3. Data Sources for GIS in Water Resources
Lecture 3 Data Sources for GIS in Water Resources GIS in Water Resources Spring 2015 http://www.data.gov/ 1 USGS GIS data for Water http://water.usgs.gov/maps.html Watersheds of the US 2-digit water resource
More informationSupplementary material: Methodological annex
1 Supplementary material: Methodological annex Correcting the spatial representation bias: the grid sample approach Our land-use time series used non-ideal data sources, which differed in spatial and thematic
More informationFR Exam 2 Substitute Project!!!!!!! 1
FR5131 - Exam 2 Substitute Project!!!!!!! 1 Goal We seek to identify county lands that both protect vernal pools and riparian corridors, and that provide open space and recreation within easy reach of
More informationTable of Contents. General Introduction... Part 1. Introduction... 3
Table of Contents General Introduction... xi PART 1. THE STRUCTURE OF THE GEOGRAPHIC SPACE... 1 Part 1. Introduction... 3 Chapter 1. Structure and System Concepts... 5 1.1. The notion of structure... 5
More informationAssessment of Lake Forest Lake Sediment Trapping Efficiency and Capacity. Marlon R. Cook Groundwater Assessment Program Geological Survey of Alabama
Assessment of Lake Forest Lake Sediment Trapping Efficiency and Capacity Marlon R. Cook Groundwater Assessment Program Geological Survey of Alabama Impacts of the Lake at Lake Forest on the connectivity
More informationRunning Water Earth - Chapter 16 Stan Hatfield Southwestern Illinois College
Running Water Earth - Chapter 16 Stan Hatfield Southwestern Illinois College Hydrologic Cycle The hydrologic cycle is a summary of the circulation of Earth s water supply. Processes involved in the hydrologic
More informationWorkshops funded by the Minnesota Environment and Natural Resources Trust Fund
Workshops funded by the Minnesota Environment and Natural Resources Trust Fund Conservation Applications of LiDAR Data Workshops funded by: Minnesota Environment and Natural Resources Trust Fund Presented
More informationENGRG Introduction to GIS
ENGRG 59910 Introduction to GIS Michael Piasecki November 17, 2017 Lecture 11: Terrain Analysis Outline: Terrain Analysis Earth Surface Representation Contour TIN Mass Points Digital Elevation Models Slope
More informationThe Hydrologic Cycle STREAM SYSTEMS. Earth s Water and the Hydrologic Cycle. The Hydrologic Cycle. Hydrologic Cycle
STREAM SYSTEMS Earth Science: Chapter 5 Reading pages 114-124 The Hydrologic Cycle Oceans not filling up Evaporation = precipitation System is balanced Earth s Water and the Hydrologic Cycle Earth s Water
More informationSPATIAL MODELING GIS Analysis Winter 2016
SPATIAL MODELING GIS Analysis Winter 2016 Spatial Models Spatial Modeling attempts to represent how the world works All models are wrong, but some are useful (G.E. Box, quoted in course textbook pg. 379)
More informationIntegrating LiDAR data into the workflow of cartographic representation.
Integrating LiDAR data into the workflow of cartographic representation. Cartographic Workflow I. 1 2 3 4 5 Surveying Vector (Nat. GDB) GPS, Laser Range Finder Yes/ No Scanning old maps LiDARflights Capture
More informationDevelopment of Webbased. Tool for Tennessee
Development of Webbased Farm Mapping Tool for Tennessee Southern Region Water Quality Conference, Oct. 24 2005 Forbes Walker and Alan Jolly Biosystems Engineering and SOIL SCIENCE Nutrient Management Planning
More informationRemote Sensing the Urban Landscape
Remote Sensing the Urban Landscape Urban landscape are composed of a diverse assemblage of materials (concrete, asphalt, metal, plastic, shingles, glass, water, grass, shrubbery, trees, and soil) arranged
More information4. GIS Implementation of the TxDOT Hydrology Extensions
4. GIS Implementation of the TxDOT Hydrology Extensions A Geographic Information System (GIS) is a computer-assisted system for the capture, storage, retrieval, analysis and display of spatial data. It
More informationGEO 428: Raster Analysis II Tuesday, October 16, 2012
GEO 428: Raster Analysis II Tuesday, October 16, 2012 Input raster may require reclassification May be done by multiplying by a scalar - DEM = DEM - 25 May also require an either/or function Ex: Identify
More informationSpatial Analysis with ArcGIS Pro STUDENT EDITION
Spatial Analysis with ArcGIS Pro STUDENT EDITION Copyright 2018 Esri All rights reserved. Course version 2.0. Version release date November 2018. Printed in the United States of America. The information
More informationIntroduction to GIS. Dr. M.S. Ganesh Prasad
Introduction to GIS Dr. M.S. Ganesh Prasad Department of Civil Engineering The National Institute of Engineering, MYSORE ganeshprasad.nie@gmail.com 9449153758 Geographic Information System (GIS) Information
More informationWHAT MAKES A GOOD GIS LAB EXERCISE? Robert N. Martin
WHAT MAKES A GOOD GIS LAB EXERCISE? Robert N. Martin ABSTRACT Having taught GIS for over fifteen years in a lecture/laboratory format, I have developed a series of laboratory exercise that provide a good
More informationUGRC 144 Science and Technology in Our Lives/Geohazards
UGRC 144 Science and Technology in Our Lives/Geohazards Flood and Flood Hazards Dr. Patrick Asamoah Sakyi Department of Earth Science, UG, Legon College of Education School of Continuing and Distance Education
More informationRegionalization Methods for Watershed Management - Hydrology and Soil Erosion from Point to Regional Scales
This paper was peer-reviewed for scientific content. Pages 1062-1067. In: D.E. Stott, R.H. Mohtar and G.C. Steinhardt (eds). 2001. Sustaining the Global Farm. Selected papers from the 10th International
More informationAssessing the Regional Vulnerability of Large Scale Mining in Ghana: An Application of Multi Criteria Analysis
Assessing the Regional Vulnerability of Large Scale Mining in Ghana: An Application of Multi Criteria Analysis Mukesh Subedee, GISDE 14 Arun Poojary, ES&P 13 Clark University April 29, 2013 Ghana: A case
More informationTEACHER CERTIFICATION STUDY GUIDE FOUNDATIONS OF SCIENTIFIC INQUIRY
Table of Contents SUBAREA I. COMPETENCY 1.0 FOUNDATIONS OF SCIENTIFIC INQUIRY UNDERSTAND THE GENERAL RELATIONSHIPS AND COMMON THEMES THAT CONNECT MATHEMATICS, SCIENCE, AND TECHNOLOGY...1 SKILL 1.1 SKILL
More informationROAD SEDIMENT ASSESSMENT & MODELING: KOOTENAI-FISHER TMDL PLANNING AREA ROAD GIS LAYERS & SUMMARY STATISTICS
ROAD SEDIMENT ASSESSMENT & MODELING: KOOTENAI-FISHER TMDL PLANNING AREA ROAD GIS LAYERS & SUMMARY STATISTICS Prepared by: ATKINS Water Resources Group 820 North Montana Avenue Helena, MT 59601 November
More informationFRACTAL RIVER BASINS
FRACTAL RIVER BASINS CHANCE AND SELF-ORGANIZATION Ignacio Rodriguez-Iturbe Texas A & M University Andrea Rinaldo University of Padua, Italy CAMBRIDGE UNIVERSITY PRESS Contents Foreword Preface page xiii
More informationChapter 16 Weathering, Erosion, Mass Wasting. Chapter 16 Weathering, Erosion, Mass Wasting. Mechanical Weathering
Weathering, Erosion and Mass Wasting Weathering is the the breakdown of solid rock at or near the Earth's surface. Chapter 16 Weathering, Erosion, Mass Wasting Does weathering of rock remove or add CO
More informationOverview of fluvial and geotechnical processes for TMDL assessment
Overview of fluvial and geotechnical processes for TMDL assessment Christian F Lenhart, Assistant Prof, MSU Research Assoc., U of M Biosystems Engineering Fluvial processes in a glaciated landscape Martin
More informationWHAT IS GIS? Source: Longley et al (2005) Geographic Information Systems and Science. 2nd Edition. John Wiley and Sons Ltd.
WHAT IS GIS? Geographical Information Systems (GIS) are a special class of information systems that keep track not only of events, activities, and things, but also of where these events, activities, and
More informationDOWNLOAD OR READ : GIS BASED FLOOD LOSS ESTIMATION MODELING IN JAPAN PDF EBOOK EPUB MOBI
DOWNLOAD OR READ : GIS BASED FLOOD LOSS ESTIMATION MODELING IN JAPAN PDF EBOOK EPUB MOBI Page 1 Page 2 gis based flood loss estimation modeling in japan gis based flood loss pdf gis based flood loss estimation
More informationTerms GIS GPS Vector Data Model Raster Data Model Feature Attribute Table Point Line Polygon Pixel RGB Overlay Function
FINAL REVIEW FOR GIS (2016) PRACTICAL COMPONENT The first 40 mins of the exam will be open book and will require you to make a map using all the techniques learned over the semester. This map will be e-mailed
More informationExercise 6: Using Burn Severity Data to Model Erosion Risk
Exercise 6: Using Burn Severity Data to Model Erosion Risk Document Updated: November 2009 Software Versions: ERDAS Imagine 9.3 and ArcGIS 9.3, Microsoft Office 2007 Introduction A common use of burn severity
More informationSummary Description Municipality of Anchorage. Anchorage Coastal Resource Atlas Project
Summary Description Municipality of Anchorage Anchorage Coastal Resource Atlas Project By: Thede Tobish, MOA Planner; and Charlie Barnwell, MOA GIS Manager Introduction Local governments often struggle
More informationLecture Outlines PowerPoint. Chapter 5 Earth Science 11e Tarbuck/Lutgens
Lecture Outlines PowerPoint Chapter 5 Earth Science 11e Tarbuck/Lutgens 2006 Pearson Prentice Hall This work is protected by United States copyright laws and is provided solely for the use of instructors
More informationSteve Pye LA /22/16 Final Report: Determining regional locations of reference sites based on slope and soil type. Client: Sonoma Land Trust
Steve Pye LA 221 04/22/16 Final Report: Determining regional locations of reference sites based on slope and soil type. Client: Sonoma Land Trust Deliverables: Results and working model that determine
More informationExercise 2: Working with Vector Data in ArcGIS 9.3
Exercise 2: Working with Vector Data in ArcGIS 9.3 There are several tools in ArcGIS 9.3 used for GIS operations on vector data. In this exercise we will use: Analysis Tools in ArcToolbox Overlay Analysis
More informationLesson 4b Remote Sensing and geospatial analysis to integrate observations over larger scales
Lesson 4b Remote Sensing and geospatial analysis to integrate observations over larger scales We have discussed static sensors, human-based (participatory) sensing, and mobile sensing Remote sensing: Satellite
More informationDelineation of high landslide risk areas as a result of land cover, slope, and geology in San Mateo County, California
Delineation of high landslide risk areas as a result of land cover, slope, and geology in San Mateo County, California Introduction Problem Overview This project attempts to delineate the high-risk areas
More informationFundamentals of Cellular Automata Theory and Applica7ons to Hydrological Modeling. M. Verdecchia ICTP Trieste May,
Fundamentals of Cellular Automata Theory and Applica7ons to Hydrological Modeling M. Verdecchia ICTP Trieste May, 8 2013 Two observa7ons: Nature DOES NOT use complex algorithms to produce complex behavior
More informationFHWA - HIGHWAY HYDROLOGY
The unit peak discharge is computed with Equation 5.6 by interpolating c 0, c, and c Table 5.5 using a type II distribution. The peak discharge is also calculated as follows. from Variable SI Unit U Unit.5444
More informationQuick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data
Quick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data Jeffrey D. Colby Yong Wang Karen Mulcahy Department of Geography East Carolina University
More information