  Inspired by Christopher Alexanders conception of the world - space is not
lifeless or neutral but a living structure involving far more small things than
large ones a topological representation has been previously developed to
characterize the living structure or the wholeness of geographic space. This
paper further develops the topological representation and living structure for
predicting human activities in geographic space. Based on millions of street
nodes of the United Kingdom extracted from OpenStreetMap, we established living
structures at different levels of scale in a nested manner. We found that tweet
locations at different levels of scale, such as country and city, can be well
predicted by the underlying living structure. The high predictability
demonstrates that the living structure and the topological representation are
efficient and effective for better understanding geographic forms. Based on
this major finding, we argue that the topological representation is a truly
multi-scale representation, and point out that existing geographic
representations are essentially single scale, so they bear many scale problems
such as modifiable areal unit problem, the conundrum of length, and the
ecological fallacy. We further discuss on why the living structure is an
efficient and effective instrument for structuring geospatial big data, and why
Alexanders organic worldview constitutes the third view of space.
  Keywords: Organic worldview, topological representation, tweet locations,
natural cities, scaling of geographic space
