Exporting data from KML to CSV is essential for professionals who need to manipulate geographical data in a more flexible and widely-used format. KML, or Keyhole Markup Language, is a file format used for displaying geographic data in Earth browsers like Google Earth.
CSV, or Comma-Separated Values, allows you to manage data in a tabular format, compatible with various software and programming languages. Converting KML files to CSV can streamline data analysis and sharing workflows.
This guide will walk you through the steps to efficiently export your KML data to CSV format. Additionally, you will learn how Sourcetable lets you analyze your exported data with AI in a simple-to-use spreadsheet.
KML is a type of XML. You can leverage any XML tools to convert KML to CSV. Simply open your KML files in a text editor and use an XSLT stylesheet to convert the KML data into CSV format.
Microsoft Excel provides a straightforward way to convert KML files to CSV. Import the KML file into Excel as an XML file. Excel will automatically convert it to a spreadsheet. You can then save the spreadsheet as a CSV file for easy data manipulation and sharing.
The MyGeodata Converter is an online tool that allows for the conversion of KML files to CSV. It supports both individual and batch conversions, and over 90 other vector and raster GIS/CAD formats.
To use MyGeodata Converter, simply upload your KML file and click the convert button. The service offers free conversion with a limit, and a prepaid plan for users needing unlimited conversions.
If you are using Solocator, ensure that the Industry Pack is enabled. Navigate to your photo library, tap the “Select” button, and choose the photo thumbnails you wish to export. Then use the customizable Email or Export/Share buttons to export your data in CSV format.
Displaying Geographic Data in Earth Browsers |
KML can be used to display geographic data in earth-based browsers such as Google Earth, ArcGIS Earth, and ArcGIS Pro. By adding KML files, users can visualize and interact with geographic information seamlessly. |
Draping Images on Terrain |
Using KML, images can be draped over Earth's terrain with ground overlays. This feature is particularly useful for creating visually compelling maps and presentations. |
Creating and Customizing Paths |
KML allows users to create paths in Google Earth, providing an intuitive way to represent routes, boundaries, and other line-based geographic features. |
Adding Interactive Placemarks |
Placemarks can be created in Google Earth using KML, enabling the addition of interactive markers that can include descriptions, images, and other metadata. |
Integrating GIS Data |
KML is used in GIS applications to display data on maps and scenes. It supports both vector and raster data and can be converted to GIS feature classes, enhancing interoperability across platforms. |
Enhancing Educational Geography Case Studies |
Google Earth tours, provided as KML files, offer dynamic geography case studies. These tours help students gain a sense of place and understanding of various geographic locations. |
Simplifying Data Adding and Interoperability |
KML makes adding data to maps easier and promotes interoperability with other applications due to its status as an open data standard. Google Earth is a notable example of an application compatible with KML data. |
Advanced Visualization Features |
Power users can utilize advanced KML features like polygons for creating simple buildings and additional shapes, shared styles for geometry, highlighted icons for Placemarks, and screen overlays to enhance data visualization. |
Sourcetable offers a unified platform to gather data from multiple sources, providing a real-time query interface. This feature is essential for users needing up-to-the-minute data without the delays common with KML.
With Sourcetable, manipulating data is intuitive through its spreadsheet-like interface. This functionality surpasses KML's limitations, making data more accessible for analysis and reporting.
Seamlessly integrate and manage diverse data sets within Sourcetable, reducing complexity and improving efficiency. Users can bypass the transformation and import processes often required with KML.
Sourcetable promotes a streamlined workflow by consolidating data collection, querying, and manipulation in one tool. This holistic approach enhances productivity and minimizes the need for additional software solutions.
You can open the KML file in MS Excel to convert it into a spreadsheet. Once the KML data is in spreadsheet format, you can save the file as a CSV.
Yes, you can upload a KML file to an online converter. These services often allow you to convert KML to CSV with one click, supporting both individual and batch conversions.
KML is a type of XML, so any XML tools that convert to CSV will work. This includes using XSLT stylesheets or MS Excel, as long as the version of Excel supports importing XML files.
Yes, for better organization, you should separate the LAT (latitude) and LONG (longitude) into different columns when converting or editing the data in Excel or any spreadsheet software.
Yes, you can create a new map and set a new layer for each data point. This helps manage data more efficiently before exporting to KML and converting the KML file to CSV.
Exporting data from KML to CSV involves a few straightforward steps that ensure your geographic data is ready for analysis in various applications. By converting your KML files to CSV, you can manage and analyze your data more efficiently.
Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.