Final answer:
Ecological data analysis can be used to predict both temporal and spatial successional changes in ecosystems. By analyzing past and current data, scientists can make predictions about changes that will occur over time and in different locations. For example, analyzing dimensions and locations of glaciers can predict changes in the earth's temperature, while studying tree rings and ice cores can predict future temperature increases. Geographers can also use spatial data analysis to predict changes in ecosystem patterns on maps or landscapes.
Step-by-step explanation:
Ecological data analysis can be used to predict both temporal and spatial successional changes. By analyzing previous and current data, scientists can make predictions about the changes that will occur over time in ecosystems. For example, by studying the dimensions and locations of glaciers and monitoring water levels in lakes, rivers, and oceans, scientists can predict changes in the earth's temperature. Similarly, by analyzing tree rings and ice cores, scientists can predict the future rise in Earth's temperature. Spatial patterns in ecological data can also be analyzed to predict changes in ecosystems. Geographers use spatial data to identify clustering of phenomena on maps or landscapes, which helps them make predictions about how and when patterns will change.