| Title |
Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology
|
|---|---|
| Published in |
Environmental Health, April 2018
|
| DOI | 10.1186/s12940-018-0386-x |
| Pubmed ID | |
| Authors |
Trang VoPham, Jaime E. Hart, Francine Laden, Yao-Yi Chiang |
| Abstract |
Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innovations in spatial science, artificial intelligence methods in machine learning (e.g., deep learning), data mining, and high-performance computing to extract knowledge from spatial big data. In environmental epidemiology, exposure modeling is a commonly used approach to conduct exposure assessment to determine the distribution of exposures in study populations. geoAI technologies provide important advantages for exposure modeling in environmental epidemiology, including the ability to incorporate large amounts of big spatial and temporal data in a variety of formats; computational efficiency; flexibility in algorithms and workflows to accommodate relevant characteristics of spatial (environmental) processes including spatial nonstationarity; and scalability to model other environmental exposures across different geographic areas. The objectives of this commentary are to provide an overview of key concepts surrounding the evolving and interdisciplinary field of geoAI including spatial data science, machine learning, deep learning, and data mining; recent geoAI applications in research; and potential future directions for geoAI in environmental epidemiology. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 31% |
| Australia | 2 | 13% |
| Germany | 1 | 6% |
| Kuwait | 1 | 6% |
| Spain | 1 | 6% |
| Chile | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 3 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 406 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 14% |
| Researcher | 54 | 13% |
| Student > Master | 52 | 13% |
| Student > Bachelor | 24 | 6% |
| Student > Doctoral Student | 16 | 4% |
| Other | 51 | 13% |
| Unknown | 153 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 12% |
| Earth and Planetary Sciences | 38 | 9% |
| Environmental Science | 31 | 8% |
| Engineering | 29 | 7% |
| Medicine and Dentistry | 18 | 4% |
| Other | 67 | 17% |
| Unknown | 175 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2023.
All research outputs
#1,922,679
of 24,416,081 outputs
Outputs from Environmental Health
#383
of 1,560 outputs
Outputs of similar age
#41,090
of 330,985 outputs
Outputs of similar age from Environmental Health
#12
of 29 outputs
Altmetric has tracked 24,416,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.