GIS 数据格式、设计与评估

1307 次查看
加州大学戴维斯分校
Coursera
  • 完成时间大约为 19 个小时
  • 中级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Design data tables and use separating and joining data in a relational database

Write query strings to subset data

Create and work with raster data

Create web maps

课程概况

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.

课程大纲

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.

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.

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.

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.

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