Published:
Spatiotemporal big data can be understood, to a large extent, as location and trajectory information collected through location-based service (LBS) applications. Because of its fine spatial and temporal resolution and large-scale population coverage, it has significant commercial as well as scientific value.
Published:
Remote sensing as a discipline is currently experiencing what appears to be a period of rapid expansion. More programs are being established across universities, more institutes are opening, and the field seems to be flourishing. Yet, behind this appearance of prosperity, there is a need for critical reflection.
Published:
Spatiotemporal big data can be understood, to a large extent, as location and trajectory information collected through location-based service (LBS) applications. Because of its fine spatial and temporal resolution and large-scale population coverage, it has significant commercial as well as scientific value.
Published:
Remote sensing as a discipline is currently experiencing what appears to be a period of rapid expansion. More programs are being established across universities, more institutes are opening, and the field seems to be flourishing. Yet, behind this appearance of prosperity, there is a need for critical reflection.
Published:
Spatiotemporal big data can be understood, to a large extent, as location and trajectory information collected through location-based service (LBS) applications. Because of its fine spatial and temporal resolution and large-scale population coverage, it has significant commercial as well as scientific value.