遇见数据集

Southern Water Yearly Domestic Consumption 2022

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ArcGIS Hub2026-03-02 更新2026-08-04 收录
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This dataset offers valuable insights into yearly domestic water consumption across various Lower Super Output Areas (LSOAs) or Data Zones, accompanied by the count of water meters within each area. It is instrumental for analysing residential water use patterns, facilitating water conservation efforts, and guiding infrastructure development and policy making at a localised level. Aggregation Data is aggregated at the LSOA level, giving a total number of meters and consuption within each LSOA. The process of summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes. Meter and Property Association Challenges arise in maintaining historical data integrity when meters are replaced but the property remains the same. Due to the low numbers and high complexity, sub meters have been removed from this dataset. Interpretation of Null Consumption Instances of null consumption could be misunderstood as a lack of water use, whereas they might simply indicate missing data. Aggregation to Mitigate Risks The dataset employs an elevated level of data aggregation to minimise the risk of individual identification. This approach is crucial in maintaining the utility of the dataset while ensuring individual privacy. The aggregation level is carefully chosen to remove identifiable risks without excluding valuable data, thus balancing data utility with privacy concerns. LSOA data - Source: Office for National Statistics licensed under the Open Government Licence v.3.0

本数据集可为各类低级别超级输出区(Lower Super Output Areas,LSOAs)或数据区(Data Zones)的年度家庭用水量情况提供极具价值的分析视角,并附带各区域内的水表数量统计。本数据集可用于剖析居民用水模式、助力节水工作推进,同时为本地化的基础设施建设与政策制定提供科学指引。 数据聚合:本数据集以LSOA为统计单位进行聚合,得出各LSOA内的总水表数量与总用水量。数据聚合指将数据汇总或分组以得到单一组或精简后的信息集合,通常用于分析或报告场景。 水表与房产关联问题:当仅更换水表而房产未发生变更时,维持历史数据的完整性将面临挑战。由于细分水表的数量稀少且关联复杂度极高,本数据集已剔除细分水表相关数据。 空用水量数据解读:空用水量记录可能被误判为无用水行为,但实际上这类记录仅代表数据缺失。 风险规避型聚合:本数据集采用较高程度的数据聚合以降低个体身份被识别的风险。该方案在保障数据集可用性的同时,可有效保护个体隐私。聚合层级经过审慎甄选,既能消除可识别风险,又不会剔除有价值的数据,从而实现数据可用性与隐私保护之间的平衡。 LSOA数据来源:英国国家统计局(Office for National Statistics),依据开放政府许可v3.0授权发布。

提供机构:
Southern Water
创建时间:
2025-12-08
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