Throughout most of human history, events and phenomena of interest have been
characterized using space and time as their major characteristic dimensions, in either …

Entropy is widely employed in many applied sciences to measure the heterogeneity of
observations. Recently, many attempts have been made to build entropy measures for …

A proper understanding of urban functions is fundamental to prevent urban problems and
promote better built environments. While previous studies focus mainly on inferring urban …

Spatial omics is a rapidly evolving approach for exploring tissue microenvironment and
cellular networks by integrating spatial knowledge with transcript or protein expression …

The spatial relationship of newly grown urban patches to existing urban areas lies at the
core of understanding the properties of urban expansion dynamics. Some existing …

With the rapid development of science technology, finding prevalent spatial patterns from
urban facility data has gradually become an important issue in smart city applications. Co …

This paper aims to reveal the uncertainty of traffic flow by introducing a new quantity based
on the concept of information entropy (IE). We discover the existence and analyze the …

We propose a novel approach to link solute transport behavior to the physical heterogeneity
of the aquifer, which we fully characterize with two measurable parameters: the variance of …

Real space teems with potential feature patterns with instances that frequently appear in the
same locations. As a member of the data-mining family, co-location can effectively find such …

The greenhouse is the fastest growing food production approach and has become the
symbol of protected agriculture with the development of agricultural modernization. Previous …