The most common way to prepare or modify XY data is some kind of spreadsheet – such as MS Excel, LibreOffice, Google Docs Spreadsheet or similar. Other attribute data, if available (like measured values, name, description and others), may be in additional columns – see this example: Then it is possible to recognize each point and perform more advanced spatial tasks like clustering and so on. It is desirable to be able to clearly identify each record (coordinate pair) – for example by adding a column like ID. ![]() In this case the data can be used at least for visualization on a map or for computation of some spatial relationship. Your XY data should have at least two columns – for X (easting / longitude) and Y (northing / latitude) coordinates. This article will guide you how to properly prepare and convert your XY data to various GIS file formats. Many software tools intended for spatial data processing or visualization require these input data to be in a specific file format – commonly used in GIS (geographic information system), having XY pairs converted to proper point geometry and assigned correct coordinate system. XY data usually contains coordinate pairs, some identifier of each record and mostly some measured attribute or more attributes, alternatively some other attributes like name, description, note and so on. Such a data is usually acquired by GPS unit recorders, determined from the topographic maps, automatically generated in regular grid or found on the internet. xls), LibreOffice / OpenOffice Spreadsheet (.ods) or coma-separated values (.csv). There are a lot of various sectors of human activities using spatial data stored as a set of XY coordinate pairs in various formats – most often as tabular data in MS Excel (.xlsx.
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