Visualizing and interacting with geospatial networks: A survey and design space

S Schöttler, Y Yang, H Pfister… - Computer Graphics …, 2021 - Wiley Online Library
This paper surveys visualization and interaction techniques for geospatial networks from a
total of 95 papers. Geospatial networks are graphs where nodes and links can be …

Optimizing the use of biologgers for movement ecology research

HJ Williams, LA Taylor, S Benhamou… - Journal of Animal …, 2020 - Wiley Online Library
The paradigm‐changing opportunities of biologging sensors for ecological research,
especially movement ecology, are vast, but the crucial questions of how best to match the …

Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis

U Demšar, JA Long, F Benitez-Paez… - International Journal …, 2021 - Taylor & Francis
Movement analysis has become an integral part of many disciplines, yet with relatively little
overlap. A foresight paper in this journal entitled “Towards an integrated science of …

Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories

W Li, S Wang, X Zhang, Q Jia, Y Tian - International Journal of …, 2020 - Taylor & Francis
In this paper, we present a data-driven framework to support exploratory spatial, temporal,
and statistical analysis of intra-urban human mobility. We leveraged a new mobility data …

L-function of geographical flows

H Shu, T Pei, C Song, X Chen, S Guo… - International Journal …, 2021 - Taylor & Francis
Geographical flow (hereafter flow) can be modeled as an orderly connected point pair
composed of an origin (O) and a destination (D). Aggregation is the most common form of …

Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns

H Zhang, X Zhou, X Ye, G Tang, H Wang… - GIScience & Remote …, 2023 - Taylor & Francis
One of the most crucial topics in spatial interaction studies is mining patterns from extensive
origin-destination (OD) flow data to capture interregional associations. However, prevailing …

I-index for quantifying an urban location's irreplaceability

X Wang, J Chen, T Pei, C Song, Y Liu, H Shu… - … Environment and Urban …, 2021 - Elsevier
A location's irreplaceability refers to the degree of difficulty with which it can be replaced by
other locations. For example, the irreplaceability of airports, hospitals, and ATMs varies, and …

SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows

Q Liu, J Yang, M Deng, C Song… - International Journal of …, 2022 - Taylor & Francis
Identifying clusters from individual origin–destination (OD) flows is vital for investigating
spatial interactions and flow mapping. However, detecting arbitrarily-shaped and non …

Density-based clustering for bivariate-flow data

H Shu, T Pei, C Song, J Chen, X Chen… - International Journal …, 2022 - Taylor & Francis
Geographical flows reflect the movements, spatial interactions or connections among
locations and are generally abstracted as origin-destination (OD) flows. In this context …

A collaborative GIS programming course using GitHub Classroom

B Anbaroğlu - Transactions in GIS, 2021 - Wiley Online Library
Geospatial software developers often rely on Git to collaborate with each other and manage
source code in an efficient way. Yet, most GIS programming courses do not prepare students …