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| RecordID | BES_299 |
| ID | |
| PublicationDate | 12/31/2009 |
| Title | Urban Historical Boundaries, 1982 |
| Edition | |
| Publication Place | Burlington, VT 05405 |
| Publisher | UVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J. |
| Online Linkage | http://beslter.org/geodatabase_SAL |
| Abstract | Urban area boundaries for 1982, part of the Baltimore-Washington Spatial Dynamics and Human Impacts dataset. The Baltimore-Washington Spatial Dynamics and Human Impacts dataset is an integrated and flexible temporal urban land characteristics database for the Baltimore-Washington metropolitan area. The compilation of this data is a collaborative effort led by the U.S. Geological Survey and the University of Maryland Baltimore County. The database provides visual and historical perspective of the urban growth experienced in the area between 1792 and 1992. Data on built-up areas exists as separate geographic layers for the dates: 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992. Temporal urban mapping reconstructs past landscapes by incorporating historic maps, census statistics, and commerce records to generate a progressive geo-referenced picture of the past changes in a region. Contemporary mapping focuses on the use of remotely sensed data, existing digital land use data, digital census information, and a variety of earth science infrastructure data, such as Digital Line Graphs, Digital Elevation Models, and key ancillary demographic information. Different procedures were used for different time periods, more fully described for each file in the Process Step Section 2.5.2. The resulting database of temporal urban land use/land cover and demographic changes provides an ideal source of test data and information for both urban geographers and global change research scientists. While this dataset was developed by the University of Maryland Baltimore County final quality control and metadata generation was performed by the University of Vermont's Spatial Analysis Lab. Two significant problems were noted regarding this dataset. The first anomoly is that the 1801, 1822, and 1878 layers have a much smaller extent, and contain data only for Baltimore City. The second discrepancy is that there are also some very obvious positional errors causing misalignments between layers of different dates (i.e. urban areas become non-urban in a very short time period, an unlikely occurance). |
| Purpose | This dataset is made available for use by BES researchers. This dataset was developed to illustrate and investigate the spatial patterns and interactions among the physiographic, ecological, and socio-economic variables linked to urban growth. This data |
| Supplemental Info | |
| Is GIS (1 yes 0 no)? | 1 |
| West | -77.314183 |
| East | -76.012008 |
| North | 39.724847 |
| South | 38.708367 |
| Presentation Form | vector digital data |
| Data Credit | USGS and UMBC. |
| Reference Name | Jarlath O'Neil-Dunne |
| Reference Place | UVM Spatial Analysis Lab |
| Reference EMail | joneildu@uvm.edu |
| Theme Keywords | Urban development, Temporal, Historical, BES, Urban Extent, Urban Boundary, Rural, Urban, Land, Biophyscial resources, |
| Place Keywords | Baltimore, MD, Washington, D.C, Chesapeake Bay, Baltimore-Washington, Regional, |
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Projection/datum/units: UTM Zone 18/NAD 83/meters The metadata provided for these
data is in Ecological Metadata Language (EML) format. Information on EML is online: Please contact Jonathan Walsh, BES Information Manager WalshJ@CaryInstitute.org with questions or comments. This research was supported by funding from the NSF Long-term Ecological Research (LTER) Program. This material is based upon work supported by the National Science Foundation under Grant No. 0423476. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. These data are made available for scientific interests that agree to cite the data and source appropriately. There is a time between the collection of most of these data and their subsequent availability via this website in order to give the investigator adequate time to present findings in scientific literature. Users are requested to notify the publisher of the purpose of data use and acknowledge the source if used in a publication. No commercial use is permitted. The publisher disclaims any responsibility for errors that may or may not exist within the data, and the user assumes all responsibility for errors in analysis or judgment associated with the data. |