Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0016
Organization's ID:
#640
Organization:
Statistics.com
Location:
Online
Length:
8 weeks (120 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Geospatial Statistics
Description

Objective:

The course objective is to introduce the relationship between maps and the data they represent and how such data are coded in the R environment. You will explore point pattern analysis, spatial autocorrelation statistics, and geostatistical interpolation to estimate values across a continuous contour type map.

Learning Outcomes:

  • describe spatial data using maps
  • Define what is meant by spatial analysis and list some of the underlying difficulties
  • Describe the statistical metrics and methods appropriate to spatial data
  • Critique maps produced by other agencies on the WWW and in other media
  • Undertake an analysis of patterns in data using the concept of complete spatial randomness
  • Analyze patterns in point data, and detect non-randomness
  • Analyze continuous field data and create contour maps
  • Produce area/value (choropleth) maps of area aggregated data using the GeoDa package
  • interpolate data to produce continuous surface models using a variety of alternative approaches in the 3Dfield package
  • define spatial analysis and list some of the underlying difficulties
  • Critique maps produced by other agencies on the WWW and in other media
  • Analyze patterns in data represented as point occurrences using the concept of complete spatial randomness
  • Produce area/value (choropleth) maps of area aggregated data using the GeoDa package
  • apply introductory spatial analysis techniques to both crime and geographic contour areas

General Topics:

  • Describing spatial data using maps
  • Analysis of patterns in point data
  • Analysis of patterns in area data
  • Detecting and measuring spatial autocorrelation in lattice data
  • Analysis of continuous field data
  • Creating contour-type maps using inverse distance weighting and geostatistical methods
Instruction & Assessment

Instructional Strategies:

  • Case Studies
  • Classroom Exercise
  • Coaching/Mentoring
  • Computer Based Training
  • Discussion
  • Practical Exercises
  • Project-based Instruction

Methods of Assessment:

  • Quizzes

Minimum Passing Score:

80%
Supplemental Materials