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GIS for Statisticians Training

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Spatial statistics will allow you to answer the following questions about your data:

  • How are the features distributed?
  • What is the pattern created by the features?
  • Where are the clusters?
  • How do patterns and clusters of different variables compare on one another?
  • What are the relationships between sets of features or values?

Geographical Information System (GIS) is widely used as a valuable tool for the management, analysis, and presentation of various and great volumes of data, as well as different local planning activities.

About this Course

The course will help you understand the statistical techniques used in GIS, and some basic theory and background so that you can use statistics in an intelligent way. This course was created in response to professionals wanting to know about how to properly use statistics and GIS in their work. Learn fundamental concepts that underlie the use of a GIS with hands-on experience with maps and geographic data.

  • Create a GIS map.
  • Evaluate data for use in a GIS mapping project.
  • Visually analyze feature relationships and patterns on a GIS map.
  • Share GIS maps and analysis results.
  • Understand the different kinds of data that GIS analysts can use for statistics, and any limitations they may pose.
  • Understand the basics of statistics for use in GIS.

Important Dates

Classroom Training Calendar 2023

Click to Apply.
Mar 4, 2024Mar 8, 2024Mar 1, 2024USD 980Register
May 6, 2024May 10, 2024May 3, 2024USD 980Register
Jun 10, 2024Jun 14, 2024Jun 7, 2024USD 980Register
Jul 8, 2024Jul 12, 2024Jul 5, 2024USD 980Register
Aug 12, 2024Aug 16, 2024Aug 9, 2024USD 980Register

Online Training Calendar 2023

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Mar 18, 2024Mar 23, 2024Mar 15, 2024USD 350/ KES 30000Register
Apr 22, 2024Apr 27, 2024Apr 18, 2024USD 350/ KES 30000Register
May 27, 2024Jun 01, 2024May 24, 2024USD 350/ KES 30000Register
Jul 01, 2024Jul 06, 2024June 28, 2024USD 350/ KES 30000Register
Aug 05, 2024Aug 10, 2024Aug 02, 2024USD 350/ KES 30000Register

Course Content Overview

Introduction to GIS

  • What is GIS?
  • What can you do with GIS?
  • What is Remote Sensing?
  • Think of ways to apply GIS
  • What are the Resolutions?
  • Types of Resolutions
  • Digital Image Processing

Datum and Projection

  • Datum
  • Coordinate System
  • Map Projection
  • Map Scales

Data Types, Heads-up Digitization

  • Vector and Raster Data
  • Non-Spatial Data (CSV)
  • Creating Vector Files and Data Collection
  • Attribute Table Creation/Editing, Join Table
  • Attribute table (Join Table & Spatial Query (By Location and Attribute)

Symbology & Labelling

  • Introduction to Symbolization.
  • Single Symbol, Unique Value
  • Graduated Colours, Proportional Symbol
  • Dot Density, Chart
  • Heat Map
  • Making a map with labels
  • Displaying dynamic labels
  • Reference scale
  • Controlling which features are labeled
  • Controlling where labels are placed
  • Converting labels to annotation

Spatial Data Input and Editing

  • Introduction to Spatial datasets
  • Topology & Error Checking
  • Basic Spatial Adjustment

Target Participants

  • GIS professionals looking to integrate statistical analysis into their work
  • Data scientists who want to learn how to use statistics with geographic data.
  • Academics
  • Geographers
  • Statisticians
  • Newbies

Suggested Skills

Experience with Windows-based software for basic file management and browsing.


QGIS, Google Earth, ArcGIS

Group Discount




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