[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-189120-105":53,"doc-detail-189120-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","detailed-data-modeling-levels","Detailed Data Modeling Levels","","This document outlines the various levels of detail (LOD) in data modeling for urban environments, ranging from LOD0 to LOD4. Each LOD is characterized by increasing precision in geometric data (XY/Z coordinates), generalization rates, and the inclusion of specific environmental features such as roof structures, standard objects, vegetation, and land usage. LOD0 represents the largest areas with maximum generalization, while LOD4 focuses on precisely modeled individual structures and real objects. The document specifies data volume, precision, generalization rates, and the detail of environmental elements for each LOD. This framework is crucial for applications requiring varying degrees of geometric accuracy and feature representation in urban planning, geospatial analysis, and 3D modeling.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/detailed-data-modeling-levels/189120/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/detailed-data-modeling-levels/189120.png","ImageObject",442,249,{"name":88,"@type":89},"Emma Wilson","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-28","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is the primary purpose of defining different Levels of Detail (LOD) in data modeling?","Question",{"text":109,"@type":110},"The primary purpose is to represent urban environments with varying degrees of geometric accuracy and feature detail, catering to different application needs and data processing capabilities.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How does the precision of data improve across the different LODs?",{"text":114,"@type":110},"Data precision increases significantly from LOD0 to LOD4. For example, XY/Z precision improves from \u003CLOD1 at LOD0 to 0.2m/0.2m at LOD4.",{"name":116,"@type":107,"acceptedAnswer":117},"What environmental features are progressively included as LOD increases?",{"text":118,"@type":110},"As LOD increases, the data progresses from generalized objects and significant features at lower LODs to detailed roof structures, standard and real objects, and modeled real vegetation and land usage at higher LODs.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},189120,1788394445,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":76},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","|  | LOD0 | LOD1 | LOD2 | LOD3 | LOD4 |\n| --- | --- | --- | --- | --- | --- |\n| Data volume | Larger areas | County and cities | City areas\u003Cbr>and specific\u003Cbr>project areas | Individual models | Individual models |\n| Precision\u003Cbr>(XY/Z) | \u003CLOD1 | 5m/5m | 2m/2m | 0.5m/0.5m | 0.2m/0.2m |\n| Generaliz\u003Cbr>ation rate | Maximum\u003Cbr>generaliza\u003Cbr>tion rate | Blocks of generalized objects 6×6m/3m | Individual\u003Cbr>generalized objects >4×4m/2m | Individual\u003Cbr>generalized objects >2×2m/1m | Modeled structure lines of objects |\n| Roof structure | - | Flat roof | Standard roof types\u003Cbr>with their orientation | Real roof structure | Real roof structure |\n| Standard\u003Cbr>objects in urbanenvironment | - | Only significant objects | Standard objects | Real objects | Modeled real objects |\n| Vegetation | - | Important\u003Cbr>significant objects | Standard objects higher than 6m | Standard objects higher than 2m | Modeled real objects |\n| Land\u003Cbr>usage | - | >50×50m | >5×5m | \u003CLOD1 | \u003CLOD2 |","cbCaijMj66TsSlke","https://ap.wps.com/l/cbCaijMj66TsSlke","pdf",6381229,7,"English","# Levels of Detail (LOD)\n## LOD0: Larger Areas\n## LOD1: County and Cities\n## LOD2: City Areas and Specific Project Areas\n## LOD3: Individual Models\n## LOD4: Individual Models","[{\"question\":\"What is the primary purpose of defining different Levels of Detail (LOD) in data modeling?\",\"answer\":\"The primary purpose is to represent urban environments with varying degrees of geometric accuracy and feature detail, catering to different application needs and data processing capabilities.\"},{\"question\":\"How does the precision of data improve across the different LODs?\",\"answer\":\"Data precision increases significantly from LOD0 to LOD4. For example, XY/Z precision improves from \\u003cLOD1 at LOD0 to 0.2m/0.2m at LOD4.\"},{\"question\":\"What environmental features are progressively included as LOD increases?\",\"answer\":\"As LOD increases, the data progresses from generalized objects and significant features at lower LODs to detailed roof structures, standard and real objects, and modeled real vegetation and land usage at higher LODs.\"}]","Detailed Data Modeling Levels | PDF"]