Modeling Polycentric Urbanization Using Multisource Big Geospatial Data

Towards Open Big Geospatial Data for geodata.gov.gr

Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...

Geospatial Big Data: Challenges and Opportunities

Study of Impacts of Urbanization Process on Phenology Using Multisource Satellite Data

Phenology is an indicator of the impact of climate on vegetation. As the representation of human activities, urbanization affects vegetation phenology by changing the local climate such as temperature, humidity, wind speed, etc. Recent studies starts to focus on the impacts of urbanization intensity on phenology. In order to understand the relationship between urbanization intensity and phenolo...

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to present the frontier approaches of ge...

Scaling Polygon Adjacency Algorithms to Big Data Geospatial Analysis

Adjacency and neighbor structures play an essential role in many spatial analytical tasks. The computation of adjacenecy structures is nontrivial and can form a significant processing bottleneck as the total number of observations increases. We quantify the performance of synthetic and real world binary, first-order, adjacency algorithms and offer a solution that leverages Python’s high perform...