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. Author manuscript; available in PMC: 2017 Sep 21.
Published in final edited form as: Trans GIS. 2016 Sep 19;21(4):764–781. doi: 10.1111/tgis.12231

Table 1.

Explanations of terms used in this article

Term Meaning
Activity Types for Fuzzy
Classification
  Walking* Walking activities are those when an individual walks outdoors.
  Staying Staying activities are those performed when an individual stays at or
around a location, such as shopping, staying at home, indoor walking,
and dining out.
  Other Transportation Other transportation activities include other motorized or non-
motorized transportation such as driving a car, bus riding, and cycling.
Baseline Activities Baseline activities are the group of activities that 1) were recorded by
the three subjects in journals and confirmed/corrected by the
subsequent GIS validation and 2) that were not recorded by the
journals but identified by the subject during the GIS validation.
Information of baseline activities serves as the reference for evaluating
the performance of the two methods developed in this study.
Membership Function In fuzzy logic methods, membership functions are defined as the
function that projects an input crispy value into a membership degree
that ranges between 0 and 1.
Spatio-temporal cluster In this article, a spatio-temporal cluster of GPS points is defined as a
group of GPS points which exhibit both spatial clustering and temporal
continuity.
Sub-location During a staying activity, the subject may actually stayed at several
locations (for example, a subject’s staying at home activity may
include sub-locations in the living-room and the yard) within the
geographic range. Correspondingly, GPS points of the staying activity
may exhibit several spatio-temporal clusters which denotes these sub-
locations.
*

The reason why we emphasize outdoor for walking activities is that when an individual walks inside a building (for example, walking inside a gym, shopping at Walmart), the GPS points may still exhibit a cluster around the building location, which makes it difficult for algorithms to distinguish. Therefore, indoor walking would be categorized into staying activities.