| Title |
Space–time forecasting using soft geostatistics: a case study in forecasting municipal water demand for Phoenix, Arizona
|
|---|---|
| Published in |
Stochastic Environmental Research and Risk Assessment, May 2009
|
| DOI | 10.1007/s00477-009-0317-z |
| Authors |
Seung-Jae Lee, Elizabeth A. Wentz, Patricia Gober |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| China | 1 | 2% |
| Unknown | 63 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 29% |
| Researcher | 11 | 17% |
| Student > Master | 10 | 15% |
| Professor | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 26% |
| Environmental Science | 13 | 20% |
| Economics, Econometrics and Finance | 7 | 11% |
| Earth and Planetary Sciences | 6 | 9% |
| Social Sciences | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 14 | 21% |