Item talk:Q49171: Difference between revisions
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ORCiD: | |||
meta: | meta: | ||
status_code: 200 | status_code: 200 | ||
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source: null | source: null | ||
visibility: public | visibility: public | ||
USGS Staff Profile: | |||
'@context': https://schema.org | |||
'@type': Person | |||
affiliation: [] | |||
description: | |||
- '@type': TextObject | |||
abstract: Ecologist with the Wetland and Aquatic Research Center | |||
additionalType: short description | |||
- '@type': TextObject | |||
abstract: Don Schoolmaster is an Ecologist at WARC in Lafayette, LA. | |||
additionalType: staff profile page introductory statement | |||
- '@type': TextObject | |||
abstract: RESEARCHDon Schoolmaster's research focuses on the use quantitative | |||
tools to combine ecological theory and data to address important applied questions. | tools to combine ecological theory and data to address important applied questions. | ||
Two major avenues his work takes is 1) Using theory in inform causal networks | Two major avenues his work takes is 1) Using theory in inform causal networks | ||
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to insure a match between the assessment tool and understanding of how the systems | to insure a match between the assessment tool and understanding of how the systems | ||
works. | works. | ||
additionalType: personal statement | |||
email: schoolmasterd@usgs.gov | |||
hasCredential: [] | |||
hasOccupation: | |||
- '@type': OrganizationalRole | |||
affiliatedOrganization: | |||
'@type': Organization | |||
name: Wetland and Aquatic Research Center | |||
url: https://www.usgs.gov/centers/wetland-and-aquatic-research-center | |||
roleName: Ecologist | |||
startDate: '2024-05-12T16:04:41.303266' | |||
identifier: | |||
- '@type': PropertyValue | |||
propertyID: GeoKB | |||
value: https://geokb.wikibase.cloud/entity/Q49171 | |||
- '@type': PropertyValue | |||
propertyID: ORCID | |||
value: 0000-0003-0910-4458 | |||
jobTitle: Ecologist | |||
knowsAbout: | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: biodiversity | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: ecological competition | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: ecological processes | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: ecosystem diversity | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: environmental assessment | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: forest ecosystems | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: grassland ecosystems | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: wetland ecosystems | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: mathematical modeling | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: mathematical simulation | |||
- '@type': Thing | |||
additionalType: self-claimed expertise | |||
name: statistical analysis | |||
memberOf: | |||
'@type': OrganizationalRole | |||
member: | |||
'@type': Organization | |||
name: U.S. Geological Survey | |||
name: staff member | |||
startDate: '2024-05-12T16:04:41.300560' | |||
name: Donald Schoolmaster, Ph.D. | |||
url: https://www.usgs.gov/staff-profiles/donald-schoolmaster |
Revision as of 18:16, 12 May 2024
ORCiD:
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USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject abstract: Ecologist with the Wetland and Aquatic Research Center additionalType: short description - '@type': TextObject abstract: Don Schoolmaster is an Ecologist at WARC in Lafayette, LA. additionalType: staff profile page introductory statement - '@type': TextObject abstract: RESEARCHDon Schoolmaster's research focuses on the use quantitative tools to combine ecological theory and data to address important applied questions. Two major avenues his work takes is 1) Using theory in inform causal networks (such as structural equations) that can be tested with data. His work in this area included both the development of methods, such as advanced methods for Structural Equation Modeling (SEM) and applying these method to address ecological problems. 2) Using ecological theory to inform tools of ecological assessment. The methods used to develop quantitative tools such as Ecological Indicators (EI) and Multimetric Indices (MMI) often imply causal assumptions. The usefulness of the final assessment tool will often depend critically on how well these assumptions are met. Schoolmaster works to develop quantitative assessment methods that have causal assumptions that are met by ecological theory and expert opinion to insure a match between the assessment tool and understanding of how the systems works. additionalType: personal statement email: schoolmasterd@usgs.gov hasCredential: [] hasOccupation: - '@type': OrganizationalRole affiliatedOrganization: '@type': Organization name: Wetland and Aquatic Research Center url: https://www.usgs.gov/centers/wetland-and-aquatic-research-center roleName: Ecologist startDate: '2024-05-12T16:04:41.303266' identifier: - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q49171 - '@type': PropertyValue propertyID: ORCID value: 0000-0003-0910-4458 jobTitle: Ecologist knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: biodiversity - '@type': Thing additionalType: self-claimed expertise name: ecological competition - '@type': Thing additionalType: self-claimed expertise name: ecological processes - '@type': Thing additionalType: self-claimed expertise name: ecosystem diversity - '@type': Thing additionalType: self-claimed expertise name: environmental assessment - '@type': Thing additionalType: self-claimed expertise name: forest ecosystems - '@type': Thing additionalType: self-claimed expertise name: grassland ecosystems - '@type': Thing additionalType: self-claimed expertise name: wetland ecosystems - '@type': Thing additionalType: self-claimed expertise name: mathematical modeling - '@type': Thing additionalType: self-claimed expertise name: mathematical simulation - '@type': Thing additionalType: self-claimed expertise name: statistical analysis memberOf: '@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-12T16:04:41.300560' name: Donald Schoolmaster, Ph.D. url: https://www.usgs.gov/staff-profiles/donald-schoolmaster