TY - GEN
T1 - Interactive visualization and app development for precipitation data in sub-saharan africa
AU - Karthikeyan, Divydharshini
AU - Shah, Sudha
AU - Varde, Aparna S.
AU - Alo, Clement
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9
Y1 - 2020/9
N2 - Precipitation plays a highly significant part in the hydrological cycle and is responsible for depositing most of the freshwater on earth. It can also impact the climate ecosystem. Considerable work has been performed to understand, model and predict precipitation. However, to the best of our knowledge, hardly any interactive visualizations exist that allow end-users to obtain a better perception of local impacts; also there are no specific apps for this purpose. The two goals of our work are thus: to design a visualization tool that illustrates changes in precipitation in a given time period with analysis; and to design a mobile application (app) that displays Sub-Saharan precipitation patterns, both using big data. This work would be advantageous to environmental scientists, as well as local residents of the respective areas. It would also be beneficial to students interested in conducting climate-based research. It addresses the theme of IoT (Internet of Things) which involves providing ubiquitous access to Internet-Based information on platforms such as smartphones and other mobile devices.
AB - Precipitation plays a highly significant part in the hydrological cycle and is responsible for depositing most of the freshwater on earth. It can also impact the climate ecosystem. Considerable work has been performed to understand, model and predict precipitation. However, to the best of our knowledge, hardly any interactive visualizations exist that allow end-users to obtain a better perception of local impacts; also there are no specific apps for this purpose. The two goals of our work are thus: to design a visualization tool that illustrates changes in precipitation in a given time period with analysis; and to design a mobile application (app) that displays Sub-Saharan precipitation patterns, both using big data. This work would be advantageous to environmental scientists, as well as local residents of the respective areas. It would also be beneficial to students interested in conducting climate-based research. It addresses the theme of IoT (Internet of Things) which involves providing ubiquitous access to Internet-Based information on platforms such as smartphones and other mobile devices.
KW - Android App
KW - Big Data
KW - Data Mining
KW - Data Visualization
KW - Human Computer Interaction
KW - Internet of Things
UR - http://www.scopus.com/inward/record.url?scp=85096358238&partnerID=8YFLogxK
U2 - 10.1109/IEMTRONICS51293.2020.9216362
DO - 10.1109/IEMTRONICS51293.2020.9216362
M3 - Conference contribution
AN - SCOPUS:85096358238
T3 - IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
BT - IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
A2 - Gill, Bob
A2 - Gangopadhyay, Malay
A2 - Poddar, Sanghamitra
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020
Y2 - 9 September 2020 through 12 September 2020
ER -
