Now there is a formal link between standard intra-urban theory of residential choice and population scaling as of urban systems theory! A must read in Geographical Analysis

Justin Delloye, Rémi Lemoy (now at UMR Idées, Rouen) and Geoffrey Caruso just published an article where they reconcile Alonso and the scaling literature. This is done through an augmented micro-economic model where scaling exponents are explicit and the scaling with population of the profile of residential land is exogenously given to better suit empirical

The land transformation model-cluster framework: Applying k-means and the Spark computing environment for large scale land change analytics

Omrani H., has a new article published in the EMS journal.  The paper explores the challenges of simulating land change across large regions and spans of time.  The new mode, called LTM-Cluster,  is a scalable modeling framework aimed to benefit research involving large datasets. The paper uses the Spark environment to reduce the burden of high computational

Towards place-based exploration of Instagram: Using co-design to develop an interdisciplinary geovisualization prototype

Catherine Jones has a new article published in the Open Access Journal of Spatial Information Science.  The paper explores the co-design process of adapting a digital humanities tool for the geovisualisation and exploration of place-based information encoded in Instagram posts.  The paper uses data associated to the #Via Francigena cultural route. It reflects upon the process of data

Models Map City Residents’ Aversion to Pollution

In an article titled “Models Map City Residents’ Aversion to Pollution – New theoretical models help urban planners understand how residents think about clean air”, Jennifer Leman, science journalist at Inside Science reports on a recent publication from our group by Mirjam Schindler (now postdoc fellow at Geospatial Research Institute, Christchurch, NZ ) and Geoffrey

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