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7 results for “historical GIS”
Historical GIS Data for Harvard Forest Properties from 1908 to Present
Since 1908, the Harvard Forest has conducted forest surveys approximately every 10-20 years on its three largest tracts (total 1033 ha). These maps have been digitized along with maps of environmental factors (topography, soils), disturbance (1938 hurricane, historical land-use), and silvicultural treatments. These datalayers will allow researchers to understand the influence of environment factors, disturbances, and silviculture on the structure and composition of modern forest stands as well as assisting in locating and describing research sites. The dataset also includes an elevation grid (NED 30 meter cells), and a shapefile of linear features (trails, stonewalls, etc). Original maps were transcribed to standardized basemaps by various researchers. These basemaps were then scanned and digitized as shapefiles in ArcView GIS 3.2. The shapefiles were then transformed to Massachusetts State Plane Meters NAD83 projection in ArcGIS and rubbersheeted to align better with aerial photographs downloaded from MassGIS. Locations of control points will be permanently archived at the Harvard Forest to facilitate transformation of future datalayers.
Historical and Ecological GIS Data from Manuel F. Correllus State Forest on Martha’s Vineyard 1830-1994
Sand-plain ecosystems are a priority for conservation because they are uncommon, support numerous rare or uncommon plant and animal species, serve as groundwater recharge areas, and are threatened by land development. The 5,200-acre Manuel F. Correllus State Forest, in the central part of Martha’s Vineyard, is part of one of the larger sand-plain ecosystems in New England. This GIS data package was created as part of a study on the history and ecology of Martha’s Vineyard and the state forest as part of an effort to understand sandplain landscapes and make management recommendations for their maintenance.
Historical GIS Data for Prospect Hill Tract at Harvard Forest 1733-1986
This dataset contains elevation, 1986 forest type, land-use history, and soils maps for the Prospect Hill Tract, digitized from paper maps in the Harvard Forest Archives. File format = Idrisi 4.1 binary. Resolution = 10m x 10m. Coordinates = UTM zone 18. Datum = 1927 North American. This dataset has been replaced with a new vector series for the entire Harvard Forest (see HF110).
Historical Plat Maps of Dane County Digitized and Converted to GIS (1962-2005)
We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.
Historical GIS and Guidebooks: Czechoslovak Tourist Attractions
<p>The following dataset of geolocated travel guide toponyms was compiled in the process of a research project <em>Historical GIS and Guidebooks: A Scalable Reading of Czechoslovak Tourist Attractions </em>(Bechmann Pedersen & Johansson, forthcoming) in which we performed a scalable reading of three travel guides of the former Czechoslovak lands as they were cirka 1959. We used a specialized, open-sourced tool <a href="https://github.com/MatJohaDH/citadel">CITADEL</a> created for this project, which in itself relies on open-sourced data from GeoNames and WikiData.</p> <p> </p> <p> </p> <p>Our primary sources were the following three travel guides:</p> <ul> <li>Čedok/Nagel, 1959, <em>Czechoslovakia</em></li> <li>Čedok, 1928 <em>Guide to the Czechoslovak Republic</em></li> <li>Baedker, 1905 <em>Austria–Hungary including Dalmatia and Bosnia</em></li> </ul> <p>All files are tab separated values (.tsv) files with utf-8 encoding.</p> <ol> <li>Three lists of positions with associated toponyms</li> <li>Two lists of clusters</li> </ol> <p>There are three files of the first type:</p> <p>CITADEL_1905Baedeker_toponyms.tsv<br> CITADEL_1928Cedok_toponyms.tsv<br> CITADEL_1959Nagel_toponyms.tsv</p> Columns for toponym files <table><tbody><tr> <th>Column</th> <th>Explanation</th> </tr> </tbody><tbody> <tr> <td>Toponym_first_used</td> <td>First toponym recorded in the database that is linked to the position</td> </tr> <tr> <td>Toponym_added</td> <td>The toponym as spellled in the travel guide</td> </tr> <tr> <td>Source</td> <td>A shorthand used to identify the travel guide</td> </tr> <tr> <td>PositionID</td> <td>The unique identifier of a position, using the GeoNames or WikiData identifiers where applicable.</td> </tr> <tr> <td>Longitude</td> <td>-</td> </tr> <tr> <td>Latitude</td> <td>-</td> </tr> <tr> <td>Year</td> <td>The year of the travel guide</td> </tr> <tr> <td>Weight</td> <td>The weight reflects the number of entries the toponym has in the index. Nagel1928 does not use this convention, and the weight is instead based on the relative page count.</td> </tr> </tbody> </table> <p> </p> <p>There are two files of the second type:</p> <p>CITADEL_1905,1928,1959_4km_clusters.tsv<br> CITADEL_1928,1959_4km_clusters.tsv</p> Columns for the cluster files <table><tbody><tr> <th>Column</th> <th>Explanation</th> </tr> </tbody><tbody> <tr> <td>years</td> <td>The years represented in the cluster</td> </tr> <tr> <td>Latitude</td> <td>-</td> </tr> <tr> <td>Longitude</td> <td>-</td> </tr> <tr> <td>cnt_points</td> <td> <p>The number of points represented in the cluster</p> </td> </tr> <tr> <td>cnt_toponyms</td> <td>The number of toponyms represented in the cluster</td> </tr> <tr> <td>cnt_toponyms_<source></td> <td>The number of toponyms from <source> represented in the cluster</td> </tr> </tbody> </table>
South-East US historical and projected population per county for FUTURES urban growth modeling in GRASS GIS
<p>South East US historical (2001-2019) and projected (2020-2100) population per county for 6 states (NC, SC, TN, GA, AL, FL). Historical data come from The National Vital Statistics System (https://seer.cancer.gov/popdata/download.html) and future data are projected by Hauer 2019 (https://doi.org/10.1038/sdata.2019.5) for SSP2 scenario. Data are formatted for r.futures.demand module, which is a GRASS GIS addon for computing future land demand for FUTURES urban growth model. </p>
French Historical GIS, 1700-2020. Administrative units, Populations, Transports, Economy
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