Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 17 Partnerships for the Goals
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Dive into the research topics where Lucas Hermans is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
Research output
- 6 Article
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The Effects of Monte Carlo Sampling on Automated Valuation Model Performance in Real Estate Assessment
Hermans, L., Davis, P., McCord, M. & Bidanset, P., 7 Feb 2025, (Accepted/In press) In: Journal of Property Tax Assessment and Administration. 22, 1, p. 29-50 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile61 Downloads (Pure) -
Delineating Market Areas Used for Mass Valuation Using Geographically Weighted Regression (GWR) and Hierarchical Cluster Analysis (HCA)
Bidanset, P., McCord, M., Davis, P. & Hermans, L., 25 Sept 2024, (Accepted/In press) In: Journal of Property Tax Assessment and Administration.Research output: Contribution to journal › Article › peer-review
Open AccessFile181 Downloads (Pure) -
An Exploratory Approach to Composite Modeling for Real Estate Assessment and Accuracy
Hermans, L., McCord, M., Davis, P. & Bidanset, P., 1 Apr 2023, In: Journal of Property Tax Assessment and Administration. 20, 1, p. 43-61 18 p.Research output: Contribution to journal › Article › peer-review
1 Downloads (Pure) -
Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal
McCord, M., Lo, D., Davis, P., McCord, J., Hermans, L. & Bidanset, P., 21 Oct 2022, In: Applied Sciences. 12, 20, p. 1-17 17 p., 10660.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Link opens in a new tab Citations (Scopus)116 Downloads (Pure) -
Prediction accuracy for property tax mass appraisal: A comparison between Regularised Machine Learning and the Eigenvector Spatial Filter approach
McCord, M., Davis, P., McCord, J., Bidanset, P. & Hermans, L., 7 Jun 2022, (Accepted/In press) In: Journal of Property Tax Assessment and Administration.Research output: Contribution to journal › Article › peer-review
Open AccessFile80 Downloads (Pure)
Prizes
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Bernard L. Barnard Outstanding Technical Essay Award
McCord, M. (Recipient), Davis, P. (Recipient), Hermans, L. (Recipient) & Bidanset, P. (Recipient), 22 Sept 2025
Prize