Highways, Baltimore City

Baltimore City Highways. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. When compared to high-resolution imagery and detailed street data offsets as great as 50m were observed. Due to positional accuracy errors this dataset should be used with caution. There are no attributes associated with this dataset. 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.

巴尔的摩市公路数据集。该数据集未附带元数据，佛蒙特大学（University of Vermont, UVM）空间分析实验室已尝试对其开展评估并生成元数据。经与高分辨率影像及精细道路数据比对，观测到该数据集存在最大达50米的位置偏移。鉴于存在位置精度误差，使用该数据集时需谨慎。该数据集未附带任何属性信息。若需获取最优可用的交通数据，请使用Roads_GDT_MSA数据集。本数据集属于指向某地理数据库的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，体量较大。经申请并达成特定安排后，可通过USB硬盘等存储介质寄送。该地理数据库总容量约为51.4GB，包含160个文件夹下的4914个文件。尽管本条元数据及其他同类元数据未包含丰富的属性信息，但鉴于其所代表的数据具备实际应用价值，仍予以公开。本数据集属于指向某地理数据库的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，体量较大。经申请并达成特定安排后，可通过USB硬盘等存储介质寄送。该地理数据库总容量约为51.4GB，包含160个文件夹下的4914个文件。尽管本条元数据及其他同类元数据未包含丰富的属性信息，但鉴于其所代表的数据具备实际应用价值，仍予以公开。