| Reference Type | Journal (article/letter/editorial) |
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| Title | Street‐segment‐based salt and abrasive prediction for winter maintenance using machine learning and GIS |
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| Journal | Transactions in GIS |
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| Authors | Ahabchane, Chahid | Author |
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| Trépanier, Martin | Author |
| Langevin, André | Author |
| Year | 2019 (February) | Volume | 23 |
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| Issue | 1 |
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| Publisher | Wiley |
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| DOI | doi:10.1111/tgis.12495Search in ResearchGate |
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| Generate Citation Formats |
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| Mindat Ref. ID | 14442456 | Long-form Identifier | mindat:1:5:14442456:8 |
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| GUID | 0 |
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| Full Reference | Ahabchane, Chahid, Trépanier, Martin, Langevin, André (2019) Street‐segment‐based salt and abrasive prediction for winter maintenance using machine learning and GIS. Transactions in GIS, 23 (1) 48-69 doi:10.1111/tgis.12495 |
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| Plain Text | Ahabchane, Chahid, Trépanier, Martin, Langevin, André (2019) Street‐segment‐based salt and abrasive prediction for winter maintenance using machine learning and GIS. Transactions in GIS, 23 (1) 48-69 doi:10.1111/tgis.12495 |
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| In | (2019, February) Transactions in GIS Vol. 23 (1) Wiley |
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These are possibly similar items as determined by title/reference text matching only.
