Identifying multiscale spatio-temporal patterns in human mobility using manifold learning

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiscale Manifold Learning

Many high-dimensional data sets that lie on a lowdimensional manifold exhibit nontrivial regularities at multiple scales. Most work in manifold learning ignores this multiscale structure. In this paper, we propose approaches to explore the deep structure of manifolds. The proposed approaches are based on the diffusion wavelets framework, data driven, and able to directly process directional nei...

متن کامل

Exploring Human Spatio-Temporal Behaviour Patterns

The complexity of pedestrian spatio-temporal behaviour calls for the combination of several complementary empirical methods in order to comprehensively understand human motion behaviour patterns and underlying motives, habits and intentions. This is essential for the development of mobile spatial information technologies, as the huge amount of potentially available information has to be filtere...

متن کامل

Spatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile Age

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...

متن کامل

Understanding Temporal Human Mobility Patterns in a City by Mobile Cellular Data Mining, Case Study: Tehran City

Recent studies have shown that urban complex behaviors like human mobility should be examined by newer and smarter methods. The ubiquitous use of mobile phones and other smart communication devices helps us use a bigger amount of data that can be browsed by the hours of the day, the days of the week, geographic area, meteorological conditions, and so on. In this article, mobile cellular data mi...

متن کامل

Spatio-Temporal Analysis Using a Multiscale Hierarchical Ecoregionalization

We address the need for spatio-temporally explicit analysis techniques linking the scales of ecosystem, observation, and analysis, using a hierarchical ecoregionalization to examine remotely sensed data at spatial scales of ecological and management significance. Longand short-term changes in vegetation functioning are a key indicator of ecological processes. We predict net primary production (...

متن کامل

ذخیره 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: PeerJ Computer Science

سال: 2020

ISSN: 2376-5992

DOI: 10.7717/peerj-cs.276