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GIS Shapefile - Transportation, Street Boundaries, Baltimore City

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DataONE2018-02-22 更新2024-06-25 收录
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Detailed street boundaries for Baltimore City. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. This dataset depicts the linear boundaries for street and paved areas in Baltimore City and has an extremely high degree of positional accuracy. For the best available transportation data use the Roads_GDT_MSA dataset. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

巴尔的摩市详细街道边界数据集。本数据集未附带元数据;佛蒙特大学空间分析实验室(UVM Spatial Analysis Lab)已尝试对其进行评估并生成元数据。本数据集描绘了巴尔的摩市内街道与铺装区域的线性边界,具备极高的位置精度。若需获取最优可用交通数据,请使用Roads_GDT_MSA数据集。本数据集属于指向地理数据库(geodatabase)的221条巴尔的摩生态系统研究元数据记录集合之一。该地理数据库可在线获取,且体量庞大。经申请并达成特定安排后,可通过USB硬盘等存储介质寄送该数据库。该地理数据库总容量约为51.4 GB,包含160个文件夹下的4914个文件。尽管本元数据记录及同类记录的属性信息并不丰富,但鉴于其所承载的数据具备实际应用价值,仍将其公开。本数据集属于指向地理数据库的221条巴尔的摩生态系统研究元数据记录集合之一。该地理数据库可在线获取,且体量庞大。经申请并达成特定安排后,可通过USB硬盘等存储介质寄送该数据库。该地理数据库总容量约为51.4 GB,包含160个文件夹下的4914个文件。尽管本元数据记录及同类记录的属性信息并不丰富,但鉴于其所承载的数据具备实际应用价值,仍将其公开。

创建时间:
2019-04-05
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