Increasingly, spatial data is 3D: our GPS traces include heights; we use LIDAR to create 3D models of buildings and cities; and we have Digital Elevation Models which capture the hills, mountains, and valleys of our terrain. Earlier, we described how coordinate systems tie data to physical locations on earth, allowing it to be combined and viewed in context. This process can work entirely in 2D (e.g., leading to lat/long or x/y coordinates), but it is particularly interesting when extended into the third dimension. Getting the extra details right — primarily knowing the vertical datum and units in use — is critical not only for combining data, but also for interpreting it correctly.

It turns out there are (at least) three significant options for dealing with heights in maps:

The main difference between tidal and orthometric heights is that local mean sea level isn’t the same “height” (in the potential energy sense) everywhere. Some parts of the ocean are persistently higher than others due to local factors including temperature and currents. Therefore, tidal datums are superior at measuring relative to the coastline and local sea level, and geoid-based vertical datums are superior at measuring heights consistently over large areas including both ocean and land.

It’s possible to convert between vertical datums based on different kinds of heights. This lets you overlay the corresponding data or take advantage of properties of a desired height system. Models of the geoid can be used to convert between ellipsoid and orthometric heights directly, but there are many details to get right. The easiest approach is to determine your source and destination vertical datums and then apply a recommended grid shift or procedure to make the conversion. For example:

Coordinate systems and associated metadata play a huge role in making maps useful, and it’s important to keep track of these details. When working with data that includes heights, ensure you know what coordinate system it’s in, including both horizontal and vertical aspects, and be aware there are options to transform your data for analysis or combination with other kinds of data.

3D About Data Coordinate Systems Data Transformation

Paul Nalos


2 Responses to “Heights in Coordinate Systems”

  1. […] This post was mentioned on Twitter by FME Evangelist, Safe Software. Safe Software said: New post: "Heights in Coordinate Systems" on our "It's All About the Data" blog […]

  2. […] near the coast and don’t capture the direction water flows (down) over large areas. As discussed in detail in an earlier post, you can use geoid-based techniques to convert between ellipsoid and orthometric […]

Leave a Reply to Tweets that mention Heights in Coordinate Systems | It's All About Data -- Cancel reply

Your email address will not be published. Required fields are marked *

Related Posts