Spatial Data Analysis and Geocomputation for Decision Making
Essex Summer School
25th July - 5th August 2016
** Registration Ends 31st May **
Course Content
This course will teach you how to understanding and get the most from your
spatial data, as well as how to make publication quality maps and use
spatial analysis techniques to support your work. The course covers the
theoretical background to spatial data and GIS, including how to use
spatial data effectively and correctly, understanding different types of
spatial data and how to critically look at maps. We will also focus on the
practical implementation of these skills using a variety of software
packages. These include QGIS, a free open source GIS package similar to
ArcGIS, R / RStudio, a free open source statistical program which has a
wide range of spatial analysis capabilities and GeoDa, a free open source
package for spatial analysis.
Course Objectives
Participants will understand the forms and types of spatial data
(raster/vector, shape files, geodatabases, etc.) as well as developing the
skills to create publication quality maps and to perform spatial data
analysis on a range of spatial data sets. We will show you how to make use
of spatial data in their own work, including making site maps, using GIS
for decision making and performing geocomputation analysis. Analysis will
include clustering, hot spot analysis and regression.
Course Prerequisites
No existing GIS knowledge is required, but some basic familiarity with
Google Maps or Open Street Maps (for example, using it to look at your
local area) is useful. Also participants should be familiar with basic
computer use (e.g. Word, Excel, etc.) and working with files & zip files.
No experience of QGIS or R is required, but participants should be aware
that R is command line driven, and so they should be prepared to learn how
to code and write short scripts
If you have any questions, please email or phone me. For more details and
to book your place, please go to http://essexsummerschool.com/summer-school-facts/courses/complete-2016-course-list/2n-spatial-data-analysis-and-geocomputation-for-decision-making/