Which type of accuracy ensures that the correct geographic features are placed accurately on a map?

Spatial accuracy is vital in ensuring that geographic features are represented accurately in relation to their true locations on a map. It refers to the precision of the geographic coordinates of features, such as points, lines, and polygons, and measures how well the mapped features correspond to their actual positions on the Earth's surface.

When spatial accuracy is high, the features on the map align well with the real world, allowing for more reliable analysis and decision-making in various applications such as urban planning, environmental management, and disaster response. In contrast, if spatial accuracy is low, users may rely on outdated or misaligned information, leading to potential errors in judgment and planning.

The other options refer to different types of accuracy. Spectral accuracy relates to the accuracy of remotely sensed data regarding the wavelength of light that is captured, classification accuracy involves assessing how well features are correctly categorized in a given dataset, and temporal accuracy refers to the correctness of data concerning the timing of events or observations. Each of these types serves a unique role within GIS but does not specifically address the placement of geographic features in the way that spatial accuracy does.