From GPS and Google Maps to Spatial Computing

From GPS and Google Maps to Spatial Computing

Course
en
English
32 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Free certificate
More info
  • 8 Sequences
  • Introductive Level

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Course details

Syllabus

Topics Covered:
Module 1 - Introduction
Course Introduction
Defining Spatial Computing
Course Structure
Interviews with Johannes Schöning, Loren Terveen and Martin Raubal
Module 2 - Spatial Query Languages
What is a Query? Query Language?
An example database with 3 tables
SQL overview
SELECT statement with 1 table
Multi-table SELECT statement
Why spatial extensions are needed
1-table spatial queries
Trends
Module 3 - Spatial Networks
Motivation, Societal use cases
Example spatial networks
Conceptual and mathematical models
Need for SQL extensions
CONNECT statement
RECURSIVE statement
Storage and data structures
Algorithms for connectivity query
Algorithms for shortest path
Interviews with Dev Oliver and Betsy George
Module 4 - Spatial Data Mining
Motivation, Spatial Pattern Families
Spatial data types and relationships
Limitations of Traditional Statistics
Location Prediction model
Hotspots
Spatial outliers
Colocations and Co-occurrences
Summary: What is special about mining spatial data?
Module 5 - Volunteered Geographic Information (VGI)
Introduction to Volunteered Geographic Information
Producing VGI
Pros and Cons of VGI
Interview with Michael Goodchild
Module 6 - Positioning
Introduction to Positioning
Overview of GPS
Overview of Wifi and Cellular Positioning
Introduction to Content-based Positioning
Geoparsing
Location-field Positioning
Module 7 - Cartography
Introduction to Cartography
Overview of Maps and Mapping
Reference Maps
Thematic Maps
Spatialization
Module 8 - Future Directions
Introduction
Spatial Databases: Representative projects
Data Mining: Representative projects
Advances in Cartography
Advances in Positioning
Interviews with Vipin Kumar, Wan Bae, Mohammed Mokbel and Len Kne

Prerequisite

None.

Instructors

  • Shashi Shekhar - Computer Science and Engineering
  • Brent Hecht - Computer Science and Engineering

Editor

The University of Minnesota, Twin Cities is an American university founded in 1851.

It is located jointly in the cities of Minneapolis and Saint Paul, known as the Twin Cities, in the state of Minnesota in the United States. The university is the oldest and largest part of Minnesota's university system. It is often ranked among the top 30 universities in the world by the Shanghai Academic Ranking of World Universities.

Its student body is the second largest in the United States, with 52,557 students and a ratio of 1 professor to 16 students. It is located on two campuses in each of the two cities, linked by a dedicated bus system. Because of Minnesota's unique geography (more than 12,000 lakes, and hundreds of miles of parks and forests), the university is heavily involved in research into the environment, renewable resources and energy, and sustainable development. Its annual economic impact on the local economy is estimated at 8.9 billion dollars.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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