التفاصيل البيبلوغرافية
| العنوان: |
Simulated origin-destination flows. |
| المؤلفون: |
Constanze Ciavarella (3466121), Neil M. Ferguson (8544642) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Biotechnology, Ecology, Cancer, Inorganic Chemistry, Plant Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, administrative-level flow data, aggregated origin-destination flow data, gravity model, flow data, mobility data, model parameter estimates, epidemic spread parametrised, fine-scale movement data, mobility models, 1 km resolution, CDR, Radiation models use, aggregated movement data |
| الوصف: |
Origin locations are plotted along the y-axis, destination locations against the x-axis. Each pixel of the plot represents the average estimated flow across 100 parameter combination samples from the posterior distributions between the respective origin and destination administrative units. The Kenyan dataset did not report on within-unit trips, and radiation models do not predict within-unit trips. For this reason, the pixels on the diagonal, representing within-unit flows, have been removed for all models and settings. Top row: plots relative to Kenya; bottom row: plots relative to Namibia. Left column: input flow data; central column: best-fitting scale of the gravity model GM (5km scale for Kenya, administrative unit level for Namibia); right column: best-fitting scale of radiation model RM4 (20km for Kenya and administrative unit level for Namibia). |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Simulated_origin-destination_flows_/13920375 |
| DOI: |
10.1371/journal.pcbi.1008588.g002 |
| الاتاحة: |
https://doi.org/10.1371/journal.pcbi.1008588.g002 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.FD5A4662 |
| قاعدة البيانات: |
BASE |