GIS Data Formats, Design and Quality

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Opleiderscore: starstarstarstar_borderstar_border 6,3 Coursera heeft een gemiddelde beoordeling van 6,3 (uit 4 ervaringen)

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Beschrijving

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About this course: In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll us…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: GIS en Geodesie, ArcGIS, Informatiemanagement, Informatieanalyse en QGIS.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS. Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products. Week 4: Explore datasets and assess them for quality and uncertainty. You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online. Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.

Created by:  University of California, Davis
  • Taught by:  Nick Santos, Geospatial Applications Researcher

    Center for Watershed Sciences
Basic Info Course 2 of 5 in the Geographic Information Systems (GIS) Specialization Level Intermediate Commitment 4 weeks of study, 2-3 hours/week Language English Hardware Req Windows computer capable of running ArcGIS 10.3 or above - license provided in previous course How To Pass Pass all graded assignments to complete the course. User Ratings 4.8 stars Average User Rating 4.8See what learners said Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

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University of California, Davis UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.

Syllabus


WEEK 1


Course Overview & Data Models and Formats
This first module covers major concepts in vector and raster data models, scale, designing data tables, using vector attribute tables, and separating and joining data in order to use it more effectively in a relational database.


14 videos, 4 readings expand


  1. Video: Course Overview
  2. Video: Module 1 Overview
  3. Lecture: Getting Started in this Course
  4. Video: Vector Data Concepts
  5. Video: Vector Data in Action
  6. Video: Raster Data Concepts
  7. Video: Rasters in Action
  8. Video: Scale and Implications
  9. Video: Managing Data in the Catalog Window
  10. Video: Data Design: Attribute Types
  11. Video: Using Vector Attribute Tables
  12. Video: Data Design: Joins and Relates
  13. Video: Data Design: Separating Data, Part 1
  14. Video: Data Design: Separating Data, Part 2
  15. Video: Module 1 Summary
  16. Lecture: Getting a license
  17. Lecture: Tutorial Assignment 1: Data Structures and Personal Geodatabases
  18. Demande de discussion: Discussion - Tutorial 1: Data Structures and Geodatabases
  19. Lecture: Extra Practice for Lessons 1 and 2

Graded: Lesson 1 Quiz: Rasters and Vectors
Graded: Lesson 2 Quiz: Data Design

WEEK 2


Creating and Working with Vector Data



This module is all about working with vector data. We'll review geoprocessing and introduce the intersect tool. This module also covers writing query strings to subset data, adding and calculating fields, configuring selections, editing and creating feature classes, and everything you need to know about digitizing data.


14 videos, 2 readings expand


  1. Video: Module 2 Overview
  2. Video: Working with Geoprocessing Tools
  3. Video: Intersect Tool
  4. Video: Writing Query Strings
  5. Video: Writing Query Strings: Boolean Operators
  6. Video: Adding and Calculating Fields
  7. Video: Interactive Selection
  8. Video: Using and Configuring Selections in ArcGIS
  9. Video: Editing Existing Data
  10. Video: Data Design: Creating New Feature Classes
  11. Video: Basic Digitizing
  12. Video: Workflow: Preparing Data
  13. Video: Workflow: Making Point Data from Coordinates
  14. Video: Module 2 Summary
  15. Lecture: Tutorial Assignment 2: Editing Data
  16. Demande de discussion: Discussion - Tutorial 2: Editing Data
  17. Lecture: Extra Practice for Lessons 3 and 4

Graded: Lesson 3 Quiz: Processing and Geoprocessing
Graded: Lesson 4 Quiz: Creating and Editing Data

WEEK 3


Storage Formats and Working with Rasters



This module covers choosing data storage formats for particular purposes as well as tools for working with rasters. In the first lesson, we'll discuss geodatabase design and go over considerations for file geodatabases, personal geodatabases, shapefiles, and SQLite databases. The second lesson covers creating and working with raster data. We'll talk about spatial analysis, georeferencing rasters, raster calculator, and using zonal statistics.


13 videos, 2 readings expand


  1. Video: Module 3 Overview
  2. Video: Geodatabase Features and Design
  3. Video: File Geodatabases
  4. Video: Personal Geodatabases
  5. Video: Shapefiles
  6. Video: Workflow: Percent Overlap
  7. Video: Supplemental: Intro to SQLite Databases
  8. Video: Overview of Spatial Analyst
  9. Video: Georeferencing Rasters
  10. Video: Raster Calculator
  11. Video: Workflow: Zonal Statistics as Table
  12. Video: Workflow: Managing Data with Zonal Statistics and Join Field
  13. Video: Module 3 Summary
  14. Lecture: Tutorial Assignment 3: A Suitability Analysis: Spatial Analyst, Raster Data, and DEMs
  15. Demande de discussion: Discussion - Tutorial 3: Spatial Analyst, Raster Data, and DEMs
  16. Lecture: Extra Practice for Lessons 5 and 6

Graded: Lesson 5 Quiz: Data Storage
Graded: Lesson 6 Quiz: Creating Raster Data

WEEK 4


Data Quality and Creating Web Maps



The first half of this module goes over uncertainty and data quality, including a lecture on topology, which affects data relationships in your vector feature classes. In Lesson 8, guest lecturer Megan Nguyen will talk all about using ArcGIS Online, including sharing our maps with our colleagues.


10 videos, 2 readings expand


  1. Video: Module 4 Overview
  2. Video: Assessing Data Quality and Uncertainty
  3. Video: Data Quality, Part 2: Measurement and Representation
  4. Video: Topology
  5. Video: Loading Layers in ArcGIS Online
  6. Video: Applying Symbology in ArcGIS Online
  7. Video: Map Annotations and Scaling in ArcGIS Online
  8. Video: Saving and Sharing Maps with ArcGIS Online
  9. Video: Module 4 Summary
  10. Lecture: Short Tutorial: Exporting Shapefiles and Uploading them to Web Maps
  11. Lecture: Extra Practice for Lessons 7 and 8
  12. Demande de discussion: Discussion: Moving Valmeyer
  13. Video: Course Summary

Graded: Lesson 7 Quiz: Uncertainty and Quality
Graded: Lesson 8 Quiz: ArcGIS Online
Graded: Moving Valmeyer
Graded: Moving Valmeyer Final Quiz

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