This poster was presented during Our Common Future Under Climate Change International Scientific Conference (CFCC 15), 7-10 July 2015, UNESCO Paris, France. http://www.reporterre.net/IMG/pdf/programme_cfcc15_7-10_juillet-2.pdf

1. Spatiotemporal Visualization Method for Interrelation-based Analysis
of Agriculture’s GHG Emissions and Agricultural Productivity
in Asian Region Using the 5D World Map System
Ahmad Muzaffar bin Baharudin1, Siti Nor Khuzaimah binti Amit1, Shiori Sasaki2, Yasushi Kiyoki2
{muz, sitinork90}@z7.keio.jp; {sashiori, kiyoki}@sfc.keio.ac
1 Keio University, Graduate School of Science and Technology, JAPAN 2 Keio University, Graduate School of Media and Governance, JAPAN
1. Research Background
2. The 5D World Map System
3. Research Objective
4. Methodology & Procedure
8. References
Abstract
5. Spatiotemporal Visualization
6. Analysis of Results
7. Summary
Acknowledgement
Food and Agriculture Organization of the United Nations (FAO) has reported a dramatic increment of Greenhouse Gas (GHG) emissions
from agriculture activities. Conversely, the increment in GHG emissions induce climate change and eventually affect the agricultural
sustainability and food security. This work presents spatiotemporal visualization to analyze the interrelation between agriculture’s GHG
emissions and agricultural productivity in Asia by using the 5D World Map system. The capability of 5D World Map system as an
educational tool in climate knowledge-sharing system is demonstrated.
- Greenhouse Gas (GHG) emissions originated from agricultural activities
have increased approximately two times over the past five decades. [1]
- GHG emissions induced climate change and agriculture activity are
interrelated processes.
- A database system provides semantic, spatial and temporal analysis by
visualizing data on 5-dimensional historical atlas. [3]
- A capable tool for storing, organizing, visualizing and analyzing
information for cross-field educational purposes.
Statistic of world Agriculture’s
GHG emissions [2]
Average Agriculture’s GHG emissions
by continent from year 1963 to 2012
The concept of
interrelation
Data Search
Overview Data Upload Data Analysis
- To analyze the interrelation between GHG emissions and agricultural
productivity in Asian Region through spatiotemporal visualization method.
- To explore the application of 5D World Map System in real-world climate
change related issues.
Process data
Add metadata
Gather raw data
Visualize & analyze
- The sources of Carbon Dioxide (CO2) emissions are mainly from
cultivation of organic soils, meanwhile Methane (CH4) and Nitrous Oxide
(N2O) in Gigagram unit are from crop and livestock production and
management activities.
- The crops yield in Hg/Ha unit is the sum of total yields of cereals, coarse
grain, fruit, vegetables, pulses, roots and tubers, treenuts and rice.
CO2 Emission Crops YieldCH4 Emission N2O Emission
Upload into
5D World Map
- As an insight from these results, we classified these countries into 4 clusters:
- Clusters are considered according
to agricultural productivity and
GHG emissions trends as follows:
- The interrelation between GHG emissions and agricultural productivity in
Asian Region is spatiotemporally visualized using the 5D World Map
System and is explored as an educational tool in climate change issues.
[1] FAO: http://www.fao.org/news/story/en/item/216137/icode/
[2] FAO Statistics Division: http://faostat3.fao.org/home/E
[3] Shiori Sasaki, Yusuke Takahashi and Yasushi Kiyoki, "The 4D World Map
System with Semantic and Spatiotemporal Analyzers," Information Modelling
and Knowledge Bases, Vol.XXI, IOS Press, pp. 1 - 18, 2010
Time lapse visualization by year
This work was funded by Global Environmental Leaders Program (GESL) and
supported in part by MEXT Grant-in-Aid for the Program for Leading Graduate
Schools in Japan.
1963 1963 1963 1963
1993 1993 1993 1993
2013 2013 2013 2013
201319931963
Smallervalue
① ②
⑤ ④
③
Kind: ....
Category: ....
Location: ...
Date: ...
Description: ...