Explore the viability of smartphones as data collection systems to delineate comfort zones by using high-spatial-temporal data
Student name: Ms Bakul Budhiraja and Ms Deepika Mann
Guide: Dr Chander Kumar Singh
Year of completion: 2014
Host Organisation: Shiv Nadar University, Uttar Pradesh
Supervisor (Host Organisation): Dr Prasad Avinash Pathak
Abstract: Technology has taken a big leap, the new generation Smart phones have
integrated Environment Sensors .The focus of these sensors have shifted to a
more personal and social level. We wish to understand locally varying patterns
in environmental variables and provide a more personal solution to problems
such as health and energy demand. Remote Sensing and GIS studies have been
using multi-temporal satellite images to include time component in the analysis.
With the availability of smart platforms, higher resolution spatio-temporal data
can be collected. Representation of high resolution temporal data in GIS is a
challenge on its own. Previous studies have thermally simulated buildings using
simulation software’s such as eQuest, EnergyPlus but their outputs are in terms
of only values & graphs. They do not give a spatial perspective to the results.
GIS is an efficient platform to visualize & analyse high spatio-temporal data and
provides visually effective outputs which helps in better understanding of the
data. GIS visualisation techniques have evolved to help communicate geographic
relationships about complex sets of data with a temporal stamp.
This study aims to collect the data for various environmental parameters such as
temperature, humidity, pressure, etc. at a very high spatial and temporal scale
using smart platforms and analyse it to find the trends. The study also aims to
delineate comfort zones indoors and outdoors.
Keywords : Smartphones,Sensors,High Spatio-temporal Data ,GIS, Comfort
Zones,
