COURSE INFORMATION

Scheduled Dates: 18 – 22 Mar '2024 | 17 – 21 Jun '2024 | 16 – 20 Sep '2024 | 16 – 20 Dec '2024

Duration: 1 Week

Customized dates for groups or one on one sessions can be organized.

PREAMBLE
The CPM workshop is a highly sort after interactive training to perfect Spatial Data Modeling and Analysis skills. Spatial data is globally used in different applications, e.g., map applications, social mapping, agriculture, public health, transportation, and public safety, and in different scientific disciplines, e.g., geographic information sciences, environmental sciences, and behavioral sciences.

This CPM course covers the main concepts behind the existing technologies in spatial applications in addition to the future directions where spatial data is driving innovations. The course covers spatial computing with coverage for spatial data models, storage, indexing, and querying. In addition, the course allows hands-on experience on both low-level and high-level spatial applications building on existing spatial data platforms

TARGET GROUP

This course is intended for GIS specialists, Geo-Mapping Officers among other individuals interpreting Geo- Mapping information in public and private organisations.

COURSE OBJECTIVES

The workshop focuses on attaining the following objectives

• Plan, design and implement a spatial analysis project demonstrating the ability to select, apply and critically interpret appropriate methods for the analysis of geographical information.
• List several different approaches to spatial analysis and differentiate between them.
• Outline the geographic concepts of distance, adjacency, interaction and neighborhood and discuss how these are fundamental in performing spatial analysis.
• Explain how point patterns, including clustering, can be identified and understood as realizations of spatial processes.
• Discuss how linear feature concepts of length, direction and connection are represented and analyzed in networks.
• Apply appropriate spatial references (datum and projection) to spatial data before undertaking analysis.
• Outline the central role that spatial autocorrelation plays in spatial analysis and explain how it helps and hinders the use of current tools.
• Demonstrate how different concepts about nearness and neighborhoods result in a variety of interpolation methods that produce different results.
• Outline various ways that overlay is implemented in GIS.
• List several emerging geographical analysis techniques using temporal and 3D analysis

COURSE OUTLINE

The following Topics will be discussed

1. Fundamentals of Spatial
2. Spatial Relationships and Data Models
3. Spatial Data Storage and Indexing
4. Spatial Query Processing
5. Spatial Networks
6. Geo-visualization
7. Spatial Data Mining
8. Trends and Innovations in Spatial Applications

REGISTRATION

To register, kindly fill the Seminar Registration Form and send it to us through:
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TERMS AND CONDITIONS OF PAYMENT

1. Fees Payment - All fees are payable strictly in advance 2 working days before the course starting date.
2. Cancellation Fee - Cancellation of any participant 5 working days before the start day of a course will incur a 20% cancellation fee.
   We regret that no cancellations will be accepted within 2 working days of a course, but substitutions may be made.