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Part 1: Document Description
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Citation |
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Title: |
Online Resource 2 - Error analysis |
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Identification Number: |
doi:10.21979/N9/1Z99TC |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2023-10-12 |
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Version: |
1 |
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Bibliographic Citation: |
Jenkins, Susanna, 2023, "Online Resource 2 - Error analysis", https://doi.org/10.21979/N9/1Z99TC, DR-NTU (Data), V1, UNF:6:Vz5vHwJVfc/7AXoRhVo/9A== [fileUNF] |
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Citation |
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Title: |
Online Resource 2 - Error analysis |
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Identification Number: |
doi:10.21979/N9/1Z99TC |
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Authoring Entity: |
Jenkins, Susanna (Nanyang Technological University) |
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Software used in Production: |
Excel |
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Grant Number: |
Research Centres of Excellence initiative |
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Grant Number: |
Research Centres of Excellence initiative |
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Grant Number: |
Joint Research Initiative on Volcanic Risk in Asia |
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Grant Number: |
MOET32021-0002 |
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Grant Number: |
200020_188757 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Jenkins, Susanna |
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Depositor: |
Jenkins, Susanna |
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Date of Deposit: |
2023-07-18 |
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Holdings Information: |
https://doi.org/10.21979/N9/1Z99TC |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Earth and Environmental Sciences, Volcanic hazards and exposure |
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Abstract: |
Online resource 2 compares the population exposures calculated from modelling with those calculated from radii in terms of their mean percentage error (MPE) and Chi-square error, which are two order-dependent error functions. This gives us information about the dispersion around the 1:1 modelled:radii line. The MPE provides a proportional deviation from the model’s mean prediction but results in larger penalties for overestimations. For instance, negative MPE values (i.e., when the exposure of footprints is lower than buffers) are bounded to -100%, whereas positive MPE values have no upper limit. In contrast, the Chi-square provides a more symmetrical error. |
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Kind of Data: |
Tabular |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1007/s00445-024-01708-w |
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Bibliographic Citation: |
Biass, S., Jenkins, S. F., Hayes, J. L., Williams, G. T., Meredith, E. S., Tennant, E., ... & Verolino, A. (2023). How well do concentric radii approximate population exposure to volcanic hazards?. Bulletin of volcanology, 86(1), 3. |
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Citation |
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Identification Number: |
10356/173184 |
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Bibliographic Citation: |
Biass, S., Jenkins, S. F., Hayes, J. L., Williams, G. T., Meredith, E. S., Tennant, E., ... & Verolino, A. (2023). How well do concentric radii approximate population exposure to volcanic hazards?. Bulletin of volcanology, 86(1), 3. |
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File Description--f114932 |
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File: OR2_ErrorAnalysis.tab |
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Notes: |
UNF:6:Vz5vHwJVfc/7AXoRhVo/9A== |
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List of Variables: | |
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Variables |
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f114932 Location: |
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