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Exploring and Visualizing Household Electricity Consumption Patterns in Singapore: A Geospatial Analytics Approach
J. Y. Y. Tan, T. S. Kam
Singapore Management University, Singapore
Despite being a small country-state, electricity consumption in Singapore is said to be non-homogeneous, as exploratory data analysis showed that the distribu-tions of electricity consumption differ across and within administrative bounda-ries and dwelling types. Local indicators of spatial association (LISA) were cal-culated for public housing postal codes using June 2016 data to discover local clusters of households based on electricity consumption patterns. A detailed walkthrough of the analytical process is outlined to describe the R packages and framework used in the R environment. The LISA results are visualized on three levels: country level, regional level and planning subzone level. At all levels we observe that households do cluster together based on their electricity consump-tion. By faceting the visualizations by dwelling type, electricity consumption of planning subzones can be said to fall under one of these three profiles: low-consumption subzone, high-consumption subzone and mixed-consumption sub-zone. These categories describe how consumption differs across different dwell-ing types in the same postal code (HDB block). LISA visualizations can guide electricity retailers to make informed business decisions, such as the geographical zones to enter, and the variety and pricing of plans to offer to consumers.
Creen: A Carbon Footprint Calculator Designed for Calculation In Context
J. E. Abbott, G. Gao, P. Shih
Indiana University, United States of America
Concerns regarding the environment and the impact humans constantly have on the environment has been a growing concern for decades, but there is still a substantial lack of environmental literacy and action among most of the population in what they can do to reduce the damage they may be indirectly causing. Given that many people express an interest in helping the environment, this paper presents a prototype of a carbon footprint calculator which interprets a carbon footprint estimate into a form that can be more accessible to people so that they may be empowered to make more informed decisions.
Environmental Monitoring of Archival Collections: An Exploratory Study of Professionals' Data Monitoring Dashboard Needs and Related Challenges
M. G. Maceli, E. Villaespesa, S. A. Adams
Pratt Institute, United States of America
This work explores the data dashboard monitoring needs and challenges en-countered by archives professionals engaged in environmental monitoring, such as collection of temperature and humidity data, across a variety of cultural heritage domains. The results of a practitioner focus group and data dashboard feature ideation session are presented. Findings suggest that practitioners’ environmental monitoring struggles include a variety of factors ranging from little budget or staff buy-in, to struggles with environmental monitoring device features, data collection, and interpretation. Suggested revisions to popular data dashboard tools in use included integrating multiple sensors’ data into a single, remotely-accessible real-time control interface. Participants’ required features in a data dashboard included: charts, export options, value ranges and exceeded alerts, web and mobile access, real-time data, and a date range selector. An initial data dashboard mockup based on the expressed end user needs and challenges is presented.