CSO Electoral Divisions – National Statistical Boundaries – 2022 – Generalised 100 m
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<p style='margin-top:0px; margin-bottom:1.5rem;'><span style='font-size:16px; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif;'>CSO Electoral Divisions - National Statistical Boundaries - 2022 - Generalised 100m</span><br /></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><span style='font-family:inherit;'>CSO EDs are a statistical geography that aligns closely with the official ED boundary. EDs are comprised of whole Small Areas. In a small number of cases, CSO EDs do not align with the official boundary, where EDs are amalgamated to ensure statistical confidentiality or where a change was required to ensure better CSO ED/CSO alignment.</span></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><span style='font-family:inherit;'>Creation of generalised versions of Published ED boundaries. Using Douglas-Peucker algorithm with tolerances of 20m, 50m, 100m and writes out features classes. Uses topology and option of preserving common boundaries to ensure output does not generalise differently on common boundaries.</span></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><p style='margin-top:12.0pt; margin-right:0cm; margin-bottom:12.0pt; margin-left:0cm; background:white;'><b><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>Update Notice: 4th August 2023</span></b><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>: ED and LEA attributes changed on 15 SAs. As a result of the changes to SAs, CSO ED has one additional ED and the number of CSO EDs is 3420 and there is a change to 2 CSO LEAs. The ED and LEAs impacted are <o:p></o:p></span></p> <p style='margin-top:12.0pt; margin-right:0cm; margin-bottom:12.0pt; margin-left:0cm; background:white; font-variant-ligatures:normal; font-variant-caps:normal; text-align:start; text-decoration-style:initial; text-decoration-color:initial; word-spacing:0px;'><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>ED 2ae19629-1d37-13a3-e055-000000000001 renamed to DALKEY-COLIEMORE<o:p></o:p></span></p> <p style='margin-top:12.0pt; margin-right:0cm; margin-bottom:12.0pt; margin-left:0cm; background:white; font-variant-ligatures:normal; font-variant-caps:normal; text-align:start; text-decoration-style:initial; text-decoration-color:initial; word-spacing:0px;'><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>ED 94b26e15-6ed2-44c2-a0b0-207c369a2da8 SHANKILL-RATHSALLAGH added<o:p></o:p></span></p> <p style='margin-top:12.0pt; margin-right:0cm; margin-bottom:12.0pt; margin-left:0cm; background:white; font-variant-ligatures:normal; font-variant-caps:normal; text-align:start; text-decoration-style:initial; text-decoration-color:initial; word-spacing:0px;'><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>LEA 40aece0e-a19d-4e78-af9d-e129f5557496 DÚN LAOGHAIRE redrawn<o:p></o:p></span></p> <p style='margin-top:12.0pt; margin-right:0cm; margin-bottom:12.0pt; margin-left:0cm; background:white; font-variant-ligatures:normal; font-variant-caps:normal; text-align:start; text-decoration-style:initial; text-decoration-color:initial; word-spacing:0px;'><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'>LEA d65ef6e7-75e6-49d9-bda9-d4690e8f68dc KILLINEY-SHANKILL redrawn<o:p></o:p></span></p><span style='font-family:inherit;'></span></p>
中央统计办公室（CSO）选举分区——2022年国家统计边界——100米简化版 中央统计办公室（CSO）选举分区是一种与官方选举分区（Electoral Division，ED）边界高度契合的统计地理区划，其由完整的小区域（Small Areas）构成。在少数情形下，中央统计办公室选举分区与官方边界并不一致，这是由于部分选举分区为保障统计保密性被合并，或是为实现更优的中央统计办公室选举分区与中央统计办公室统计区划对齐而进行了调整。 本数据集基于已发布的选举分区边界生成简化版本，采用容差分别为20米、50米、100米的道格拉斯-普克（Douglas-Peucker）算法完成边界简化，并输出要素类。处理过程中运用拓扑关系，并支持保留公共边界的选项，以确保公共边界在不同输出结果中的简化效果保持统一。 更新通知：2023年8月4日 本次更新涉及15个小区域的选举分区与地方选举区域（Local Electoral Area，LEA）属性信息。受小区域调整影响，中央统计办公室选举分区新增1个分区，总数达到3420个，同时有2个中央统计办公室地方选举区域发生变更。 选举分区ID 2ae19629-1d37-13a3-e055-000000000001 更名为达尔基-科利莫尔（DALKEY-COLIEMORE） 新增选举分区ID 94b26e15-6ed2-44c2-a0b0-207c369a2da8 尚基尔-拉斯拉（SHANKILL-RATHSALLAGH） 地方选举区域ID 40aece0e-a19d-4e78-af9d-e129f5557496 邓莱里（DÚN LAOGHAIRE）的边界已重新绘制 地方选举区域ID d65ef6e7-75e6-49d9-bda9-d4690e8f68dc 基利尼-尚基尔（KILLINEY-SHANKILL）的边界已重新绘制
