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Query Syntax

TitleOperatorExampleDescription
Phrase / Exact match
""
"Roman"
"Roman Road Network"
The term or phrase must be matched exactly (case insensitive) to get a match.
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FIELD_NAME:()
name:(Roman Road Network)
name:("Roman Road Network")
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Search words including or ending with and an unknown set of characters. The wildcard 
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matces a single character and 
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matches 0-n characters.
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Roma~
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Find words which are similar (spelling wise) to the given word. Good for finding misspelled words. The examples could e.g. result in "Roma, Roman, Rome" or "Squire, Super, Squibb".
Given the length of the word different rules apply *:
[0-2]:
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[3-5]:
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+Roman Road +Network
Both "Roman" and "Network" must be present, "Road" is not required but would make a better result if present
+name:(Roman Road)
One of the terms must be present in the title field (If all terms must be present prefix each term with a "+")
+"Roman Road"
The exact phrase must be present
Must Not
-
-Roman Road
-name:(Roman Road)
-"Roman Road" Network
Express which terms must not be present to get a match:
-Roman Road
"Roman" must not present
-name:(Roman Road)
One of the terms must not be present in the title field (If all terms must not be present prefix each term with a "-")
-"Roman Road"
The exact phrase must not be present
Grouping
( )
(+Roman +Road) (+Ancient +Network)
Group expressions together to form sub-queries. The Example reads: match ("Roman" and "Road") or ("Ancient" and "Network").
time
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Roman roads in Roman border provinces for Spatial Proximity Analysis

Authors:
Tomas Glomb
Formats
other
Nodes
161670
Edges
161670
Years
-30–476
Access:
|
Added:
2025-05-09

An edited version of the Roman roads originally digitized and geocoded by the Ancient World Mapping Centre (AWMC) based on the Barrington Atlas of the Greek and Roman World for the provinces Britannia, Germania Superior and Inferior, Raetia, Noricum, Pannonia Superior and Inferior, Moesia Superior and Inferior, and Dacia. The trajectories and intersections of these roads were validated in GIS software by reconnecting loose ends due to minor errors in the coordinates of the original dataset. Due to fixing the loose ends of the network by an algorithm in QGIS using a buffer, this network is suitable for interconnected distance measurements rather than an exact representation of the Barrington Atlas data. The elements of the data are shapefile lines segmented by 1km. This dataset was used for measurements in Glomb, Tomas. 2021. "The spread of the cult of Asclepius in the context of the Roman army benefited from the presence of physicians: A spatial proximity analysis". PLoS ONE 16(8): e0256356. https://doi.org/10.1371/journal.pone.0256356.

Tags
roads
•
roman
•
romanempire
Modern Countries and Continents
Austria
•
Belgium
•
Bosnia and Herzegovina
•
Bulgaria
•
Croatia
•
France
•
Germany
•
Hungary
•
Italy
•
Netherlands
•
Romania
•
Serbia
•
Slovakia
•
United Kingdom
Structure
Directionality
undirected
Weighted
no
Hypergraph
-
Longitudinal
-
Multigraph
-
Multilayer
-
Multipartile
-
Probabilistic
-
Self Loops
-
Signed
-
Spatial
yes
Data Url
https://doi.org/10.18710/279HML
Canonical Citation
Glomb, Tomas, 2021, "Replication data for: The spread of the cult of Asclepius in the context of the Roman army benefited from the presence of physicians: A spatial proximity analysis", https://doi.org/10.18710/279HML, DataverseNO, V2.
License
Creative Commons Zero v1.0 Universal
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 892604.
Data Publisher
DataverseNO
Related Publications
Glomb T (2021) The spread of the cult of Asclepius in the context of the Roman army benefited from the presence of physicians: A spatial proximity analysis. PLoS ONE 16(8): e0256356. https://doi.org/10.1371/journal.pone.0256356
Network Topics
epigraphy
•
religion
•
roads
•
social
Node Topics
crossroads
Edge Topics
road
Node Attributes
-
Edge Attributes
-
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Statistics
Avg. Clustering Coefficient
-
Avg. Degree
-
Construction

An edited version of the Roman roads originally digitized and geocoded by the Ancient World Mapping Centre (AWMC) based on the Barrington Atlas of the Greek and Roman World for the provinces Britannia, Germania Superior and Inferior, Raetia, Noricum, Pannonia Superior and Inferior, Moesia Superior and Inferior, and Dacia. The trajectories and intersections of these roads were validated in QGIS software by reconnecting loose ends due to minor errors in the coordinates of the original dataset. Due to fixing the loose ends of the network by an algorithm in QGIS using a buffer, this network is suitable for interconnected distance measurements and is not an exact representation of the Barrington Atlas data. The elements of the data are shapefile lines segmented by 1km.

Sources

Originally: Roman roads. In: Ancient World Mapping Center [Internet]. [cited 10 Dec 2020]. Available: http://awmc.unc.edu/awmc/map_data/shapefiles/ba_roads/.

Newly: https://github.com/AWMC/geodata/tree/master/Cultural-Data/roads

Source Types
atlas
•
gazetteer
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