Big data, spatial optimization, and planning
نویسندگان
چکیده
منابع مشابه
Benchmarking 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 ...
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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 کاملBig data, smart cities and city planning
I define big data with respect to its size but pay particular attention to the fact that the data I am referring to is urban data, that is, data for cities that are invariably tagged to space and time. I argue that this sort of data are largely being streamed from sensors, and this represents a sea change in the kinds of data that we have about what happens where and when in cities. I describe ...
متن کاملConvex Optimization for Big Data
This article reviews recent advances in convex optimization algorithms for Big Data, which aim to reduce the computational, storage, and communications bottlenecks. We provide an overview of this emerging field, describe contemporary approximation techniques like first-order methods and randomization for scalability, and survey the important role of parallel and distributed computation. The new...
متن کاملSpatial Big Data: Platforms, Analytics, and Science
Emerging non-traditional spatial datasets from geo-social media, sensor networks, and volunteers are important due to societal applications such as situation assessment after natural disasters, monitoring urban traffic, etc. However, such datasets, called spatial big data, often exceed the capacity of commonly used spatial computing platforms. Spatial big data presents new challenges for their ...
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ژورنال
عنوان ژورنال: Environment and Planning B: Urban Analytics and City Science
سال: 2020
ISSN: 2399-8083,2399-8091
DOI: 10.1177/2399808320935269