Seasonal Urban Carbon Emission Estimation Using Spatial Micro Big Data
نویسندگان
چکیده
منابع مشابه
Evaluating the effects of energy and economic growth on Carbon dioxide emission (using spatial panel data)
Energy is one of the most important inputs in production. Energy usage and energy diffusion of fossil fuels in process of production cause greenhouse gases (CO2) emission and destruction of environment. According to the importance of issues like energy usage and economic growth, this paper, concerning the effects of proximity, evaluates the effects of energy usage and economic growth on emissio...
متن کاملUrban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Abstract—Current real-estate value estimation, difficult for laymen, usually is performed by specialists. This paper presents an automated estimation process based on big data and machine-learning technology that calculates influences of building conditions on real-estate price measurement. The present study analyzed actual building sales sample data for Nonhyeon-dong, Gangnam-gu, Seoul, Korea,...
متن کاملBenchmarking Spatial Big Data
Spatial computing is a set of ideas and technologies that facilitate understanding the geo-physical world, knowing and communicating relations to places in that world, and navigating through those places. The transformational potential of mobility services is already evident. From Google Maps [17] to consumer Global Positioning System (GPS) devices, society has benefited immensely from spatial ...
متن کاملEstimation of Spatial Missing Data for Expanding Urban LOD
The illegal parking of bicycles has been an urban problem in Tokyo and other urban areas. We have sustainably built a Linked Open Data (LOD) relating to the illegal parking of bicycles (IPBLOD) to support the problem solving by raising social awareness. Also, we have estimated and complemented the temporal missing data to enrich the IPBLOD, which consisted of intermittent social-sensor data. Ho...
متن کاملBSDM: Big Spatial Data Management
We are living in the era of Big Data. Spatial and Spatiotemporal Data are not an exception. Mobile apps, cars, GPS devices, UAVs, ships, airplanes, space telescopes, medical devices and IoT devices are generating explosive amounts of data with spatial characteristics. Web apps and social networking systems also store vast amounts of geo-located information, like geo-located tweets, or captured ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2018
ISSN: 2071-1050
DOI: 10.3390/su10124472