Osvaldo Gervasi

David Taniar

Beniamino Murgante

Bernady O. Apduhan

Sanjay Misra

Ana Maria A.C. Rocha

Elena Stankova

Alfredo Cuzzocrea

Carmelo M. Torre

Giuseppe Borruso

The six-volume set LNCS 10404-10409 constitutes the refereed proceedings of the 17th International Conference on Computational Science and Its Applications, ICCSA 2017, held in Trieste, Italy, in July 2017. The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 international workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as computer graphics and virtual reality. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials.

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part I

Computational Science and Its Applications – ICCSA 2017

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part V

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part IV

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part III

17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part VI

Alessandra Lapucci

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.

Geocomputation and Urban Planning

Giuseppe Borruso

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