Geospatial data mgt and analysis on iCEOD platform

1. Muliaro Wafula PhD. FCCS,FCSKMuliaro Wafula PhD. FCCS,FCSK
Director ICT Centre of Excellence and Open Data –iCEODDirector ICT Centre of Excellence and Open Data –iCEOD
www.jkuat.ac.ke/directorates/iceod/www.jkuat.ac.ke/directorates/iceod/
JKUATJKUAT
E-mail: director.iceod@jkuat.ac.keE-mail: director.iceod@jkuat.ac.ke
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Management and Analysis of Geospatial
Data on iCEOD Open Data Platform
Presented at the
ISDE Digital Earth Summit, Beijing China
July 8th
, 2016
iCEOD

2. ICT Centre of Excellence & Open Data (iCEOD)
Key Objectives:
1.Promote Data publication, preservation and reuse.
2.Promote multi-disciplined research capabilities and activities
that are ICT enabled
3.Accelerate ICT innovation through equipping innovators with
requisite skills and credible and quality data
4.Develop ICT policies, strategies, and innovations that spur
sustainable socio-economic development in agriculture,
education, tourism, environment, health, security, finance, and
natural resources

3. JORD Policy
 JKUAT in consultation with CODATA, has developed and
implemented an open research data policy (JORD) Policy
(February 2016)
 JORD expected benefits include
• ROI
• Encouragement of diverse studies and opinion
• Promotion of new areas of work not envisioned by the initial
investigators.
• Strengthen the credibility of scholarly publications
• Development of new products and services
• Support iCEOD open data platform
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4. Designed in
consultation with
IBM Expert
(Ben Mann)

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Geospatial data managed by dashDB & analysed using IBM Geospatial Analytics tool

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ArcMap used for data Analysis

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Geospatial Data Management &
Analysis

8. Analysis
• Consider the US National Weather Service open data with warnings. An
insurance company could use this data to determine which customers are in
danger and warn them for the benefit of both customers and the insurance
company.
• Other potential application domains include:
• Governments can warn on draught/ floods/mudslides/
• Teco Location, Utilities Smart Grid, GPS tracking in transportation, Retail
Store Placement etc
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9. Manage Data using dashDB
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e.g. using GEO_WEATHER_WARNINGS data table

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This example uses a customer table that is preloaded on each dashDB instance. The customers are
color-coded based on the values of their insured property. A darker color corresponds to a higher
property value
Use the Identify tool to draw a frame that
contains the customers in that region, then
ArcMap displays a list of those customers

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When you select a customer in the list, the location of that customer flashes green on the
map.

16. Thank You!
Asante !