The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms
We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote se...
Geospatial, as the name implies is an area of interest that satiates the needs of its end Users’ geo...
In recent years there has been an explosion of geo-datasets derived from an increasing number of rem...
The convergence of big data and geospatial computing has brought challenges and opportunities to GIS...
As stated in literature by several authors, there has been literally big-bang explosion in data acqu...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
Geospatial data is getting bigger and more difficult to analyse. Satellites, drones, vehicles, socia...
Without geospatial data management, today´s challenges in big data applications such as earth observ...
Geospatial data is getting bigger and more difficult to analyse. Satellites, drones, vehicles, socia...
With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic ...
Big Data encompasses collection, management, processing and analysis of the huge amount of data that...
Geospatial big data present a new set of challenges and opportunities for cartographic researchers i...
AbstractBig Data has emerged with new opportunities for research, development, innovation and busine...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
In this paper GeoAI is introduced as an emergent spatial analytical framework for data-intensive GIS...
We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote se...
Geospatial, as the name implies is an area of interest that satiates the needs of its end Users’ geo...
In recent years there has been an explosion of geo-datasets derived from an increasing number of rem...
The convergence of big data and geospatial computing has brought challenges and opportunities to GIS...
As stated in literature by several authors, there has been literally big-bang explosion in data acqu...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
Geospatial data is getting bigger and more difficult to analyse. Satellites, drones, vehicles, socia...
Without geospatial data management, today´s challenges in big data applications such as earth observ...
Geospatial data is getting bigger and more difficult to analyse. Satellites, drones, vehicles, socia...
With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic ...
Big Data encompasses collection, management, processing and analysis of the huge amount of data that...
Geospatial big data present a new set of challenges and opportunities for cartographic researchers i...
AbstractBig Data has emerged with new opportunities for research, development, innovation and busine...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
In this paper GeoAI is introduced as an emergent spatial analytical framework for data-intensive GIS...
We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote se...
Geospatial, as the name implies is an area of interest that satiates the needs of its end Users’ geo...
In recent years there has been an explosion of geo-datasets derived from an increasing number of rem...