Computer Assisted Mass Appraisal (CAMA) Database, MD Property View 2004, Baltmore County

The CAMA (Computer Assisted Mass Appraisal) Database is created on a yearly basis using data obtained from the State Department of Assessments and Taxation (SDAT). Each yearly download contains additional residential housing characteristics as available for parcels included in the CAMA Database and the CAMA supplementary databases for each jurisdiction.. Documentation for CAMA, including thorough definitions for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab. It should be noted that the CAMA Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the CAMA Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields). A cursory review of the 2004 version of the CAMA Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the CAMA Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 3999 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords." 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.CAMA（计算机辅助大规模评估，Computer Assisted Mass Appraisal）数据库每年由SDAT（马里兰州评估与税收局，State Department of Assessments and Taxation）获取的数据构建而成。每年度更新的数据集会纳入对应辖区内CAMA数据库及CAMA辅助数据库中地块的可获取住宅房产特征信息。CAMA数据库的相关文档（包含所有属性的详细定义）已随附提供。完整的房产视图文档可通过http://www.mdp.state.md.us/data/index.htm访问，位于"Technical Background（技术背景）"标签下。需要说明的是，CAMA数据库存储的是点位数据，而非地块边界数据。对于已具备地块多边形数据的区域，可通过ACCTID字段，或拼接BLOCK与LOT字段（拼接时可能需要移除空格，需根据实际场景选择合适的关联方式）将CAMA数据库与多边形数据进行关联。对2004版CAMA数据库的初步审查显示，其数据准确性相较于2003版有所提升，尤其在住宅类型分类方面。但部分单条记录仍存在大量字段属性缺失的情况。结合过往版本CAMA数据库的使用经验，部分信息仍存在不准确的可能性。本图层已完成编辑，移除了因地理编码失败而无有效位置的点位，共计3999个。已删除点位的列表存储在后缀为"DeletedRecords"的表中。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（metadata）记录集合之一。该地理数据库可在线获取，但体积较大。经申请并达成特定合作安排后，可通过USB硬盘等介质寄送该数据集。该地理数据库总大小约为51.4GB，包含160个文件夹下的4914个文件。尽管本元数据记录及同类其他记录的属性信息并不丰富，但鉴于其所代表的数据具备较高实用价值，仍予以公开。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（metadata）记录集合之一。该地理数据库可在线获取，但体积较大。经申请并达成特定合作安排后，可通过USB硬盘等介质寄送该数据集。该地理数据库总大小约为51.4GB，包含160个文件夹下的4914个文件。尽管本元数据记录及同类其他记录的属性信息并不丰富，但鉴于其所代表的数据具备较高实用价值，仍予以公开。