Going the Distance : Big Data on Resident Access to Everyday Goods
Year of publication: |
2017
|
---|---|
Authors: | Farrell, Diana |
Other Persons: | Relihan, Lindsay (contributor) ; Ward, Marvin (contributor) |
Publisher: |
[2017]: [S.l.] : SSRN |
Subject: | Big Data | Big data | Geographische Entfernung | Geographic distance |
Extent: | 1 Online-Ressource (19 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 23, 2017 erstellt |
Other identifiers: | 10.2139/ssrn.2966200 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Nowcasting world GDP growth with high-frequency data
Jardet, Caroline, (2022)
-
Deep learning of spatiotemporal patterns for urban mobility prediction using Big Data
Wang, Yun, (2022)
-
Big data in Asian central banks
Cornelli, Giulio, (2022)
- More ...
-
Shopping, Near and Far : Local Commerce in the Digital Age
Farrell, Diana, (2019)
-
The Early Impact of COVID-19 on Local Commerce : Changes in Spend Across Neighborhoods and Online
Farrell, Diana, (2020)
-
Shedding Light on Daylight Saving Time
Farrell, Diana, (2017)
- More ...