Developing Geographical Indications in the South

Developing Geographical Indications in the South

This book contributes to the literature on Geographical Indications (GIs) by providing key theoretical reflections from a five-year review process on the potential of GIs for agri-food products in Southern Africa. The contributors reflect on diverse GI processes and dynamics which operate at the local, national and international levels, thus enriching the understanding of GI dynamics and of the variety of policy options available for GI protection in Southern countries. Following a discussion of the legal framework and governance of national GI schemes in Southern countries, the book emphasize

Developing Geographical Indications in the South

GIS to Support Cost-effective Decisions on Renewable Sources

GIS to Support Cost-effective Decisions on Renewable Sources

Through the results of a developed case study of information system for low temperature geothermal energy, GIS to Support Cost-effective Decisions on Renewable Sources addresses the issue of the use of Geographic Information Systems (GIS) in evaluating cost-effectiveness of renewable resource exploitation on a regional scale. Focusing on the design of a Decision Support System, a process is presented aimed to transform geographic data into knowledge useful for analysis and decision-making on the economic exploitation of geothermal energy. This detailed description includes a literature review and technical issues related to data collection, data mining, decision analysis for the informative system developed for the case study. A multi-disciplinary approach to GIS design is presented which is also an innovative example of fusion of georeferenced data acquired from multiple sources including remote sensing, networks of sensors and socio-economic censuses. GIS to Support Cost-effective Decisions on Renewable Sources is a useful, practical reference for engineers, managers and researchers involved in the design of GIS, decision support systems, investment planning/strategy in renewable energy and ICT innovation in this field.

GIS to Support Cost-effective Decisions on Renewable Sources

Python Geospatial Development

Python Geospatial Development

Build applications for GIS development using Python. Analyze and visualize Geo-Spatial data. Comprehensive coverage of key GIS concepts. Recommended best practices for storing spatial data in a database. Draw maps, place data points onto a map, and interact with maps. A practical tutorial with plenty of step-by-step instructions to help you develop a mapping application from scratch.

Python Geospatial Development