CFP: for the Handbook of Big Geospatial Data
Handbook of Big Geospatial Data
Martin Werner and
to be published by Springer in Autumn 2019.
Aim & Scope:
Due to the advances in positioning, mobile computing, and remote sensing, very large amounts of spatiotemporal data are collected each and every day. At the same time,
applications ranging from urban computing for smarter cities over personal assistants to autonomous driving are within reach.
However, a lot of these recent advances have been made in the context of formerly isolated research domains. This leads to a situation, where the potential at the intersection
of remote sensing, GIS, big data analytics, social computing, and artificial intelligence remains difficult to unlock.
In addition to that, the sheer amount of data needs sophisticated data management and data analytics approaches, which are still in their infancy.
Furthermore, various types of spatial data lead to highly complex computational problems (e.g., trajectory computing, 3D mesh intersection, point cloud classification,
long-term historical digital archives) limiting the exploitation of these data sources in practice.
In this context, the handbook of Big Geospatial Data aims to bring together researchers and practitioners from those various fields developing and
applying spatial computing techniques in their respective application areas. This book will foster multi-disciplinary exchange through a wide range
of topics and a large audience. This book intends to increase interdisciplinary research by forming a platform for exchanging ideas, viewpoints, and methodologies between
those various fields of spatial computing.
The book project solicits chapter proposals (1 page, 10pt) in the following or related areas covering the current methodology of a specific aspect of big
geospatial data combining accessible and introductory information with a short overview of state-of-the-art approaches:
GPS / GNSS Positioning
Positioning in Harsh Environments
Safety and Security
Remote Sensing / Spatial Data Acquisition
Special Positioning Systems
Visual Positioning Systems
Spatial Data Mining
Route and Trajectory Planning
Spatiotemporal Data Modeling and Forecasting
Spatial Artificial Intelligence
Open Source Data and Tools in GIS
Algorithms and Tools for Spatial Big Data
Semi-Structured and Unstructured Data (e.g., addresses, text documents, and micro-blogs)
Structured Data (e.g., open city data and RDFs)
Distributed Algorithms for Spatial Data
Ontology-based Spatial Data Integration
Spatial Big Data Infrastructure/System Architecture
Algorithms and Tools in Geographic Information Systems
Digital Map Processing
Submit a 1-page (10pt, A4 or letter, PDF) chapter proposal including author information via EasyChair (https://easychair.org/conferences/?conf=bgd19).
Chapter Proposals Due: Feb. 28th, 2018, any earlier is appreciated
Chapter Acceptance: Mar. 28th, 2018
Full Chapters Due: Oct. 15th, 2018
Notification: Feb. 25th, 2019
Submission Page: https://easychair.org/conferences/?conf=bgd19
After notification, accepted full chapters will be refined towards a camera-ready version with typesetting support from Springer.