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Article overview
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A spatiotemporal analysis of participatory sensing data "tweets" and extreme climate events toward real-time urban risk management | | Yoshiki Yamagata
; Daisuke Murakami
; Gareth W. Peters
; Tomoko Matsui
; | | Date: |
22 May 2015 | | Abstract: | Real-time urban climate monitoring provides useful information that can be
utilized to help monitor and adapt to extreme events, including urban
heatwaves. Typical approaches to the monitoring of climate data include weather
station monitoring and remote sensing. However, climate monitoring stations are
very often distributed spatially in a sparse manner, and consequently, this has
a significant impact on the ability to reveal exposure risks due to extreme
climates at an intra-urban scale. Additionally, traditional remote sensing data
sources are typically not received and analyzed in real-time which is often
required for adaptive urban management of climate extremes, such as sudden
heatwaves. Fortunately, recent social media, such as Twitter, furnishes
real-time and high-resolution spatial information that might be useful for
climate condition estimation. The objective of this study is utilizing
geo-tagged tweets (participatory sensing data) for urban temperature analysis.
We first detect tweets relating hotness (hot-tweets). Then, we study
relationships between monitored temperatures and hot-tweets via a statistical
model framework based on copula modelling methods. We demonstrate that there
are strong relationships between "hot-tweets" and temperatures recorded at an
intra-urban scale. Subsequently, we then investigate the application of
"hot-tweets" informing spatio-temporal Gaussian process interpolation of
temperatures as an application example of "hot-tweets". We utilize a
combination of spatially sparse weather monitoring sensor data and spatially
and temporally dense lower quality twitter data. Here, a spatial best linear
unbiased estimation technique is applied. The result suggests that tweets
provide some useful auxiliary information for urban climate assessment. Lastly,
effectiveness of tweets toward a real-time urban risk management is discussed
based on the results. | | Source: | arXiv, 1505.6188 | | Services: | Forum | Review | PDF | Favorites | |
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