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  • Home > Course Title: Advanced Tools in GIS

    Course Title: Advanced Tools in GIS

    Course at a Glance
    During this course you will also learn...
    Why is this topic important?
    Table of Contents
    Who can use this course?
    Who are the stakeholders?
    What software will you use?
    What hardware will you need?
    What support will be available for instructors?
    What data will you use?
    How can you get more information?

    Course at a glance:
    You may know how and where to get data for various types of analysis. The trick is now to know what to do with this data. This course picks up where Course 2, Book 1 leaves off. In this course, you will use your knowledge of ArcMap and ArcCatalog to complete numerous geospatial applications. You will learn techniques in displaying, managing, querying, symbolizing, and creating geospatial data. You will even plan and build an inventory of local data to be used for analyses. In the Data Collection part of this course you will use GPS units to collect, store and import data so that you will be able to create a map of your campus. In the last portion of the course, you will use scenarios that will allow you to map features and study relationships that exist in your local community.

    During the course you will also learn….

    Creating a New Map Document
    Displaying Quantitative Data
    Editing Layer Properties
    Creating Layer Files
    Editing an Attribute Table – Adding a New Field
    Editing an Attribute Table – Calculating Values
    Creating Map Layouts
    Exporting Map Layouts
    Printing Map Layouts
    Adding Data to ArcMap
    Relating Two Attribute Tables
    Using Select by Attributes
    Exporting Data as a New Shapefile
    Labeling Features
    Inserting Data Frames
    Copying and Pasting Data into New Data Frames
    Creating Graphs to Display Data
    Creating Reports to Display Data
    Adding a Report to a Map Layout
    Adding a Graph to a Map Layout
    Analyzing Data Set using Land Use Data
    Analyzing Data Set using Proximity Tool Set
    Analyzing Data Set using Population Data
    Analyzing Data Set using Flood Zone Data
    Dissolving Features
    Analyzing Data Set using Overlay Methods
    Symbolizing Raster Data Layers
    Adjusting the Transparency of a Layer
    Using Map Templates
    Using Zooming Techniques
    Creating an Address Locator to Geocode an Address Table
    Matching Unmatched Addresses
    Adding New Street Feature to the Street Network Dataset
    Using the Sketch Tool
    Hyperlinking Features
    Exploring Census Data of Local Community
    Experimenting with Classification Methods
    Mapping Density
    Using Field Statistics
    Geocoding Addresses of Local Businesses
    Spatially Joining Data
    Summarizing Tabular Data
    Relating Tabular Data
    Joining Tabular Data
    Selecting Features Using an Attribute-Based Query
    Selecting Features Using a Location-Based Query
    Merging Data Layers to Form a New Layer
    Performing Union Overlay Analysis to Form New Layers
    Creating a Geodatabase
    Importing Existing Feature Class to a Geodatabase
    Importing Multiple Feature Classes to a Geodatabase
    Adding Data Layers from ArcCatalog to ArcMap
    Editing Polygon Features in a Data Layer
    Using Model Builder
    Compiling Crime Information for Your Community
    Editing Data Frame Properties
    Permanently Changing the Projection of a Data Set
    Using ArcToolbox
    Defining Projections
    Digitizing Polygon Features
    Digitizing Line Features
    Digitizing Point Features
    Using a GPS unit
    Preparing GPS unit for Data Collection
    Entering Data from GPS into Spreadsheet
    Adding GPS Waypoint Data into ArcMap
    Collecting Line Feature Data Using GPS
    Displaying Collected Data in ArcMap

    Why is this topic important?
    Maps are very useful tools. Being able to create a map is an invaluable skill to have. From a simple route map showing how to get from your home to the mall, to a state planner looking at the land uses of his state to attract new industries, to school district looking for the best location for their new high school, maps are crucial in giving the stakeholder a “picture” of what the answer to their spatial question could be. The skills that that are taught in this class allow the user to go directly from classroom application immediately to real world application.

    Table of Contents:

    Unit 1: Demographic & Economic Data Analysis
    Lesson 1 Displaying Geospatial Data
    Lesson Objectives
    • Explore terminology associated with geospatial data and geospatial analysis
    • Explore data gathered and organized from the decennial U.S. Census
    • Add a new field to an attribute table
    • Calculate values for a field in an attribute table
    Lesson Exercise: Displaying Geospatial Data
    • Explore Census Data
    • Display Quantitative Data
    • Creating a Layer File (graduated color symbology)
    • Editing an Attribute Table
    • Calculate Field Values in an attribute table

    Lesson 2 Managing Geospatial Data
    Lesson Objectives
    • Relate tabular data
    • Label features in a data layer
    • Use multiple data frames in a map document
    • Copy and paste data layers between data frames in a map document
    • Create a graph to display quantitative data
    • Create a report to display analysis results
    Lesson Exercises: Introduction to ArcGIS ArcMap/ Navigating ArcCatalog
    • Enhance a map layout by adding graphic images, reports and charts to the layout
    • Relate two tables
    • Labeling features in a map display
    • Insert a New Data Frame
    • Copy & Paste Layers Between Data Frames
    • Create a Graph to display data
    • Create a Report
    • Add a Graph to a Map Layout
    • Add a Report to a Map Layout

    Lesson 3 Querying Geospatial Data
    Lesson Objectives
    • Create a text table to be used in a map document
    • Explore land use data
    • Dissolve features contained in a data layer
    • Perform overlay analysis to find intersecting areas of data layers
    Lesson Exercise: Querying Geospatial Data
    • Explore Land Use Data
    • Create a Text Table
    • Change Properties of All Feature Symbols
    • Explore Flood Zone Data
    • Dissolve Features of a data layer
    • Perform Overlay Analysis

    Lesson 4 Symbolizing Geospatial Data
    Lesson Objectives
    • Symbolize raster data
    • Adjust the transparency of a layer
    Lesson Exercise: Symbolizing Geospatial Data
    • Symbolize Raster Data Layers using stretched symbolizing methods
    • Adjust the Transparency of a data layer

    Lesson 5 Creating Geospatial Data
    Lesson Objectives
    • Geocode addresses contained in an address table
    • Edit a data layer
    • Hyperlink features in a data layer to an image file
    Lesson Exercise: Creating Geospatial Data
    • Geocode Addresses in a table to plot in a map display
    • Interactively match unmatched addresses
    • Edit a Data Layer
    • Add Features to an Existing Shapefile
    • Hyperlink Features in a map display to image files

    Lesson 6 Planning & Building a Local Data Inventory
    Lesson Objectives
    • Explore Census data for your community
    • Explore methods used to display quantitative data
    • Geocode addresses of local businesses
    Lesson Exercise: Planning & Building a Local Data Inventory
    • Apply Skills, Tools & Techniques to Local Community Data
    • Explore Local Census Data
    • Create Local Data by Geocoding a Local Address Table


    Unit 2: Location-Based Analysis Techniques
    Lesson 1 Managing Geospatial Data
    Lesson Objectives:
    • Find features based on attribute values
    • Spatially join data layers
    • Summarize tabular data
    • Merge data layers
    • Perform union overlay analysis
    Lesson Exercise: Managing Geospatial Data
    • Find Features based on Attributes
    • Spatially Join Data from Two Data Layers
    • Summarize Tabular Data
    • Merge Data Layers
    • Explore Calls for Service (CFS) Data

    Lesson 2 Creating & Editing Geospatial Data
    Lesson Objectives:
    • Create a personal geodatabase
    • Import data layers into a geodatabase
    • Edit polygon features in a map display
    Lesson Exercise: Creating & Editing Geospatial Data
    • Create a Personal Geodatabase in ArcCatalog
    • Import Existing Data Layers into a Geodatabase
    • Edit Polygon Features using Editor tools

    Lesson 3 Modeling Geospatial Analysis
    Lesson Objective:
    • Explore ModelBuilder function in ArcGIS
    • Create a model for a geospatial analysis process
    • Run a model for a geospatial analysis process
    Lesson Exercise: Modeling Geospatial Analysis
    • Exploring the ArcGIS ModelBuilder contained in ArcToolbox
    • Create a Model for a series of geospatial analysis processes
    • Run a model for a geospatial analysis process

    Lesson 4: Planning & Building a Local Data Inventory
    Lesson Objectives:
    • Explore geographic relationships that exist using local community data
    Lesson Exercise: Planning & Building a Local Data Inventory
    • Create a Table of Crime Locations & Descriptions
    • Geocode Address Data to Plot Crime Locations
    • Explore Geographic Relationships with Crime Data

    Unit 3: Data Collection Methods & Techniques
    Lesson 1 The Importance of Spatial Reference
    Lesson Objectives:
    • Build a geospatial technology vocabulary
    • Examine coordinate systems & map projections
    • Experiment with map projections
    • Analyze the effect of coordinate systems and map projections on geospatial data
    Lesson Exercise: Coordinate Systems & Projections
    • Examine Coordinate Systems & Map Projections and Their Effect on Geospatial Analysis
    • Measure distances between features in ArcMap using different coordinate systems
    • Examine the effect of differing coordinate systems on distance representation on maps
    • Explore the UTM coordinate system
    • Reproject a data layer to a new coordinate system using Projection tools in ArcToolbox

    Lesson 2 Software-Based Data Creation Techniques
    Lesson Objectives:
    • Build a geospatial technology vocabulary
    • Digitize geographic features using imagery data
    Lesson Exercise: Creating New Data by Digitizing Imagery
    • Examine Software-Based Data Creating Methods such as Heads-Up Digitizing, Geocoding & Plotting XY Data
    • Heads-up digitize point, line and polygon geographic features shown in an image data layer
    • Create a map layout of your campus location using heads-up digitizing

    Lesson 3 Global Positioning System (GPS) Technology
    Lesson Objective:
    • Build your geospatial technology vocabulary
    • Explore GPS technology as a method of data collection
    • Collect geographic data using GPS technology
    • Prepare geographic data collected with GPS for use in a GIS project
    • Plot geographic data collected with a GPS in a GIS project
    Lesson Exercise: Collecting Geospatial Data using GPS
    • Identify components of a standard GPS unit
    • Navigate the various screens of a standard GPS unit
    • Collect Feature Data Using GPS Technology
    • Prepare Data from GPS for use in ArcGIS

    Unit 4: Experiments in Skills Applications
    Lesson 1 The Importance of Spatial Reference
    Lesson 2 Special Project in Address Geocoding & Querying
    Lesson 3 Special Project in Geographic Relationships
    Lesson Objectives for Lessons 1, 2 & 3:
    • Build a geospatial technology vocabulary
    • Provided a prescribed geographically-related problem or situation, utilize tools and functions to conduct GIS analysis to solve the problem and/or illustrate the situation with ArcGIS software
    Lesson Exercise: Scenarios in Geospatial Applications
    • Map the locations of local historical sites and hyperlink the features in the map display to photographs of the sites
    • Map homes that are for sale in the community and use querying tools to find homes that have specified attributes
    • Explore geographic relationships that exist in your community as well as another community of like size and compare geographic features and/or demographic data in each community

    Who could use this knowledge?

    Who are the direct stakeholders?

    Skills we assume you have before you take this class: You will need basic computer skills, a working knowledge of an office suite (such as PowerPoint, Word Docs, and Spread Sheets) and experience with access to the Internet.

    Software you will need:

    An office suite (such as PowerPoint, Word Docs, and Spread Sheets), an Internet Browser, STARS Custom dataset, and ArcGIS Desktop (includes ArcMap and ArcCatalog)

    Hardware you will need:

    A networked computer lab with a 1:1 ratio of students to computers, which meets the following minimum specifications: Pentium-III, Celeron, Pentium 4 or AMD Athlon running at 1ghz or equivalent, at least 1GB of RAM memory, Windows 2000 or Windows XP Professional, a network server providing at least 500MB of storage per student, and appropriate read/write permissions for both the server and workstations. You will also need Internet access and a suitable means of displaying PowerPoint presentations (LCD projector, large monitor, plasma screen, etc.). You will also need a GPS unit.

    Teacher Support…

    Detailed, thorough student documentation, Full lesson plans including objectives, materials needed, procedures and assessments, PowerPoint presentations with narratives, Customized assessment and answer keys based on local data

    What Data will you use…

    • Filename Type Description
    • cfcc dbf Census Feature Class Codes

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