Big Data Are All the Rage—For Mountains, Too
Bibliographic Data
| ID | 13907497 |
|---|---|
| Authors | Erin Gleeson (Universidad Iberoamericana), Gregory B Greenwood (Universidad Iberoamericana, corresponding author) |
| Year | 2015 |
| Volume | 35 |
| Issue | 1 |
| Pages | 87-89 |
| Publication date | 2015-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Mountain Research and Development (JOURNAL) |
| Journal identifiers | ISSN: 0276-4741 • E-ISSN: 1994-7151 |
| Publisher | International Mountain Society (PUBLISHER • CH) |
| DOI | 10.1659/mrd.mp124 |
| OpenAlex | W2099631956 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
Big data. For some, it is a vaguely apocalyptic term; for others, it represents a new era of understanding our environment and ourselves. Today, big data are being harnessed in ever more innovative ways that simply were not possible when we only had small sets of data to work with. Although mountain system research does not yet produce the vast quantities of data that are now common to other fields, there are nevertheless many data that, if pooled, could provide new insights into how mountain socioecological systems function. As the Mountain Research Initiative's Concerted Efforts progress, it becomes clear that it is time for the mountain research community to harness the lessons and power of at least “medium data” to develop a stronger, evidence-based understanding of both the generalities and the specificities of mountain systems
Big data · Biology · Data mining · Data science · Function (biology · Geography · Rage (emotion · Work (physics · Computer Science · Cryospheric studies and observations · Engineering · Landslides and related hazards · Psychology · Species Distribution and Climate Change
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.13 |
| Citation span | 2018 - 2018 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |