Item talk:Q46257: Difference between revisions
From geokb
(Added profile data from https://www.usgs.gov/staff-profiles/christopher-p-garrity) |
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meta: | |||
status_code: 200 | |||
timestamp: '2023-10-20T09:25:10.310958' | |||
url: https://pub.orcid.org/v3.0/0000-0002-5565-1818/record | |||
orcid: | |||
activities: {} | |||
history: | |||
claimed: true | |||
completion-date: null | |||
creation-method: DIRECT | |||
deactivation-date: null | |||
last-modified-date: | |||
value: 1524367905229 | |||
source: null | |||
submission-date: | |||
value: 1477314918164 | |||
verified-email: true | |||
verified-primary-email: true | |||
person: | |||
name: | |||
created-date: | |||
value: 1477314918394 | |||
credit-name: null | |||
family-name: | |||
value: Garrity | |||
given-names: | |||
value: Chris | |||
last-modified-date: | |||
value: 1477314918394 | |||
path: 0000-0002-5565-1818 | |||
source: null | |||
visibility: public | |||
usgs_staff_profile: | usgs_staff_profile: | ||
meta: | meta: |
Revision as of 17:34, 20 October 2023
orcid:
meta: status_code: 200 timestamp: '2023-10-20T09:25:10.310958' url: https://pub.orcid.org/v3.0/0000-0002-5565-1818/record orcid: activities: {} history: claimed: true completion-date: null creation-method: DIRECT deactivation-date: null last-modified-date: value: 1524367905229 source: null submission-date: value: 1477314918164 verified-email: true verified-primary-email: true person: name: created-date: value: 1477314918394 credit-name: null family-name: value: Garrity given-names: value: Chris last-modified-date: value: 1477314918394 path: 0000-0002-5565-1818 source: null visibility: public
usgs_staff_profile:
meta: status_code: 200 timestamp: '2023-09-30T16:40:39.311253' url: https://www.usgs.gov/staff-profiles/christopher-p-garrity profile: abstracts: [] affiliations: [] education: - B.S. Earth Systems Science, GISciences, George Mason University, 2001 email: cgarrity@usgs.gov expertise_terms: - Geospatial - Application Development - Geographic Information Systems - Big Data - Data Visualization - UI/UX - Open Data - Analytics - Remote Sensing - Cartography - Graphic Design - Geodesy honors: [] intro_statements: - Christopher Garrity is a Supervisory Cartographer with the USGS Geology, Energy & Minerals (GEM) Science Center in Reston, VA. He is responsible for developing scalable, resilient, enterprise-level geospatial web applications and product/data delivery systems for a variety of groups at the USGS. name: Christopher P. Garrity name_qualifier: null orcid: 0000-0002-5565-1818 organization_link: https://www.usgs.gov/centers/geology-energy-and-minerals-science-center organization_name: Geology, Energy & Minerals Science Center personal_statement: "Chris has an extensive background in geospatial related technologies,\ \ specializing in the planning, architecture, development, maintenance, and\ \ support of complex geospatial driven applications for USGS stakeholders. Since\ \ joining the USGS, he has led numerous high-visibility projects in the Energy/Minerals\ \ and Core Science Systems Mission areas. He is an active leader in the USGS\ \ geospatial community, especially those interested in open-source geospatial\ \ technologies, and serves on numerous USGS and industry steering committees/communities\ \ of practice. He currently leads a geospatial team in the Geology, Energy &\ \ Minerals Science Center.\u200B\u200B\u200B\u200B\u200B" professional_experience: - Lead developer of a variety of highly visible geospatial related applications in multiple languages/protocols (JavaScript, Python, NodeJS, PHP, JSON/XML, HTML5, CSS, etc.) - Extensive experience utilizing geospatial technologies including ESRI ArcGIS Enterprise, ArcGIS APls, ArcGIS Online, open-source geospatial technologies (PostGIS, GeoServer, OpenLayers, and MapBox) - Extensive knowledge of relational database managements systems such as PostgreSOL and SOL Server - Experience developing middleware and RESTful web services with respect for end user authentication - Experience leveraging contemporary technologies like Cloud, Al/ML, and 3D modeling in geospatial workflows - Experience with distributed computing frameworks for big data (Kubernetes, Dask) - Extensive knowledge of design tools (Adobe Creative Suite, Blender, Figma, Sketch, lnvision) - Experience in computer vision and machine learning toolkits/technologies (OpenCV, TensorFlow, Keras) - Experience in cloud architecture (AWS) and related technologies (RDS, SageMaker, Rekognition, Textract) - Highly proficient in testing, supporting, and developing tools/scripts, and preparing technical documentation - Extensive knowledge in data governance/management related workflows, including geospatial catalog development and curation, semantics/ontologies, data curation, metadata (ISO, FGDC, Dublin Core) management and API technologies title: Supervisory Cartographer