Okay, I need to create a Wikipedia-style document in Markdown based on the given categories and keywords. The main topic is "공간 데이터" (Spatial Data) under the subcategory of Geographical Information Systems (GIS). Let me start by understanding the requirements.

First, the structure: H1 for the title, an overview section, several sections with H2 and H3 headings, and possibly references or related documents. The content needs to be accurate, objective, detailed enough, easy to read, and use technical terms with explanations. Also, markdown formatting with proper headings, lists, tables, code blocks if needed, and at least 800 characters.

Starting with the title: "공간 데이터" as H1. Then an introduction that explains what spatial data is, its importance in GIS. Next sections could be types of spatial data, characteristics, applications, challenges, and maybe a section on technologies or tools used. Each of these can have sub-sections (H3).

For the overview, I should define spatial data, mention it's essential for GIS, and perhaps touch on how it's used in various fields. Then under types, differentiate between vector and raster data, maybe also attribute data. Characteristics could include spatial relationships, scale, accuracy, etc. Applications might cover urban planning, environmental monitoring, transportation, etc. Challenges could involve data integration, storage, processing, privacy issues.

I need to make sure each section is detailed but not too technical without explanations. For example, when mentioning vector data, explain points, lines, polygons. Raster as grid cells. Also, include examples for clarity. Maybe a table comparing vector and raster.

Check if there are any specific technologies or standards related to spatial data that should be mentioned, like GIS software (ArcGIS, QGIS), file formats (GeoJSON, Shapefile), or standards like ISO 19100 series.

Need to ensure the document is over 800 characters. Let me count: each section with a few paragraphs and some lists or tables should add up. Also, include references or related documents at the end, maybe links to GIS resources or further reading.

Avoid markdown syntax in the thinking process but structure it properly in the final answer. Make sure technical terms are explained briefly. For example, when talking about spatial relationships, explain what that means in context.

Check for any missing sections. Maybe a section on data collection methods (remote sensing, GPS) or data analysis techniques (spatial queries, geospatial analysis). Also, mention the importance of metadata and data quality.

Need to ensure the flow is logical: introduction, types, characteristics, applications, challenges, technologies, references. Each H2 section with sub-sections as needed. Use bullet points for lists, tables where appropriate.

Double-check that all requirements are met: structure, content quality, markdown formatting, length. Avoid any markdown in the thinking process but apply it correctly in the final document.