Prehistoric Route Expectation and Archaeological Sites in Drenthe, Netherlands
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Description
Drenthe province's archaeological research execution, adhering to the Dutch Archaeology Quality Standard (KNA), for areas with an archaeological expectation. The data includes ash and stream valleys, the Havelterberg, the Drentsche Aa area, expected Celtic fields, sacrificial sites, a castle near Zuidlaren, and the suspected route of a prehistoric road over the Hondsrug. It originates from the Dutch Ministry of the Interior and Kingdom Relations and appears in archaeological information maps.
Use Cases
Modeling potential prehistoric transportation corridors based on the suspected route over the Hondsrug.
Identifying high-priority archaeological survey zones based on mapped expectations for features like Celtic fields.
Assessing regional heritage management compliance with the Dutch Archaeology Quality Standard (KNA).
Analyzing the spatial relationship between different archaeological feature types like sacrificial sites and stream valleys.
Strengths
Research execution follows a defined professional standard: the Dutch Archaeology Quality Standard (KNA).
Covers multiple distinct archaeological feature types and landscapes within a defined province.
Includes a specific, named geographical feature of interest: the suspected prehistoric road over the Hondsrug.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties (Dutch Ministry of the Interior and Kingdom Relations)
Collection Method
Likely compiled from provincial archaeological maps and research records.
Time Range
null
Freshness
Last updated: unknown
Geography
Province of Drenthe, Netherlands, including specific areas like Hondsrug, Havelterberg, and Drentsche Aa.
Primary file formats are ZIP and PNG, suggesting the dataset may consist of packaged map images rather than structured tabular data.