GIS GEOSTATISTICAL ANALYSIS TRAINING

GIS GEOSTATISTICAL ANALYSIS TRAINING

INTRODUCTION

Geostatistics is a class of statistics used to analyze and predict the values associated with spatial or spatiotemporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses.

WHO SHOULD ATTEND?

Geostatisticians and GIS experts

 

TRAINING OBJECTIVES

At the end of the training, the participants will have a deep understanding of:

  • Analyzing and predicting values associated with spatial or spatiotemporal phenomena

 SUMMARY OF COURSEOUTLINE

  • Analyzing patterns; Mapping clusters
  • Measuring geographic distributions
  • Modeling spatial relationships
  • Average nearest neighbor analysis
  • Cluster/outlier analysis with rendering
  • Collect events with rendering
  • Hotspot analysis
  • Z-score rendering
  • Ordinary least squares
  • Generate spatial weights matrix
  • Spatial Auto-correlation.

REQUIREMENTS

Participants should be reasonably proficient in the use of computer system. 

TRAINING APPROACH

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. 

CERTIFICATION

Upon successful completion of this training, participants will be issued with a certificate of completion.

DURATION

5 Days

TRAINING VENUE

The training will be held at Geographic Integrated Services Ltd Training Hall, 26, Oduyemi Street, Anifowoshe, Off Obafemi Awolowo Way, Ikeja, Lagos, Nigeria 100261

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our office or at a convenient location.

For further inquiries, please contact us on Tel: 08034542221, or info@gisng.com

TRAINING FEE

N150,000.00. The training fee covers tuition fees, and training materials.

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