Personal profile
Education/Academic qualification
MA, University of Minnesota
Research Interest Keywords
- data management
- GIS
- metadata
- digital humanities
Fingerprint
The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Ephemeral Geodata: An Impending Digital Dark Age
Majewicz, K., Martindale, J., Kernik, M. & Mattke, R., 2024, In: Journal of Map and Geography Libraries. 20, 2, p. 88-113 26 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
Managing Scholarly Outputs in a Proprietary Platform: Exploring the Implications of Esri Story Maps for Spatial Digital Humanities Preservation
Kernik, M., 2023, In: Journal of Map and Geography Libraries. 19, 1-2, p. 4-21 18 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Open geospatial data: A comparison of data cultures in local government
Majewicz, K. L., Martindale, J. & Kernik, M. L., Mar 28 2022, In: IASSIST Quarterly. 46, 1Research output: Contribution to journal › Article › peer-review
Open Access -
9.02 - Human–Environment Interactions and Scalable Remote Sensing
Manson, S. M. & Kernik, M., 2018, In: Reference Modules in Earth Systems and Environmental Sciences. 9, p. 4-16 12 p.Research output: Contribution to journal › Article › peer-review
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Human-environment interactions and scalable remote sensing
Manson, S. M. & Kernik, M., Jan 1 2018, Comprehensive Remote Sensing. Oxford: Elsevier, Vol. 9. p. 4-16 13 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
1 Link opens in a new tab Scopus citations
Datasets
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Twin Cities Historical Surface Waters Based on Original Public Land Survey Maps, 1848 - 1858
Graves, R., Kernik, M., Kne, L., Mattke, R., Shepard, C. & Strong, R., Data Repository for the University of Minnesota, 2017
DOI: 10.13020/D6DH3F, https://doi.org/10.13020/D6DH3F
Dataset