Consistent Yet Adaptive Global Geospatial Identification of Urban–Rural Patterns : The iURBAN Model
The main motivation of this paper is to shed new light on the problem of spatial identification of urban and rural areas globally, and to provide a compatible disaggregation framework for linking associated country-specific, non-spatial data compilations, such as building type inventories. Existing...
Main Authors: | Aubrecht, Christoph, Gunasekera, Rashmin, Ungar, Joachim, Ishizawa, Oscar |
---|---|
Format: | Journal Article |
Language: | en_US |
Published: |
Elsevier
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10986/25370 |
Similar Items
-
Evaluating Multi-Sensor Nighttime Earth Observation Data for Identification of Mixed vs. Residential Use in Urban Areas
by: Aubrecht, Christoph, et al.
Published: (2016) -
Applying Machine Learning and Geolocation Techniques to Social Media Data (Twitter) to Develop a Resource for Urban Planning
by: Milusheva, Sveta, et al.
Published: (2020) -
Estimating Urban Poverty Consistently Across Countries
by: Combes, Pierre-Philippe, et al.
Published: (2022) -
Identifying Urban Areas by Combining Data from the Ground and from Outer Space : An Application to India
by: Galdo, Virgilio, et al.
Published: (2018) -
Three Feet Under : The Impact of Floods on Urban Jobs, Connectivity, and Infrastructure
by: Rentschler, Jun, et al.
Published: (2019)