Although networks provide a powerful approach to study a large variety of ecological
systems, their formulation does not typically account for multiple interaction types …

Modeling heterogeneity in random graphs through latent space models: a selective review\*
Page 1 ESAIM: PROCEEDINGS AND SURVEYS, December 2014, Vol. 47, p. 55-74 F …

Species are linked to each other by a myriad of positive and negative interactions. This
complex spectrum of interactions constitutes a network of links that mediates ecological …

In this paper, we propose a Ward-like hierarchical clustering algorithm including
spatial/geographical constraints. Two dissimilarity matrices D_0 D 0 and D_1 D 1 are …

Networks are collections of nodes that are connected to each other by links. Innumerable
objects around us can be seen as networks, for example, the Internet (where nodes are …

Tobler's first law of geography is widely recognized as reflecting broad empirical realities in
geography. Its key concepts of “near” and “related” are intuitive in a univariate setting …

From the molecular to the ecosystem level, a biological system can often be represented as
a set of entities that interact with each other. Recent advances in data acquisition technology …

Visualisation of spatial networks based on pairwise metrics such as (dis) similarity
coefficients provides direct information on spatial organisation of biological systems …

In this paper, we show a new clustering technique (k-gaps) aiming to generate a robust
regionalization using sparse climate datasets with incomplete information in space and time …

A regionalization system delineates the geographical landscape into spatially contiguous,
homogeneous units for landscape ecology research and applications. In this study, we …