Geographic Information Systems (GIS)
GIS technology has broad applications in the natural and social sciences, humanities, environmental studies, engineering, and management. Examples include wildlife habitat study, urban and regional planning, contagious disease monitoring, agriculture and forestry, environmental quality assessment, emergency management, transportation planning, and consumer and competitor analysis.
We develop new geographic, technological, and cartographic concepts required to produce informative, meaningful maps that illustrate geographic phenomena. By using a combination of Internet and desktop geographic information softwares, we perform geocoding, thematic mapping, web map mashing, and spatial analysis. Maps are generated from publicly available published and crowd-sourced data sets, and individual geographic data sets created from scratch.
The essential skills of spatial data management, analysis, and visualization is to gain hands-on know-how in spatial data collection, editing, transformation, and mapping, as well as spatial analysis operations such as location-based query, address geocoding, terrain and watershed analysis, spatial interpolation, best site selection, least cost path delineation, and a number of other GIS modeling techniques.
GIS can help investors, business and policy leaders get a clear idea of the potential of a given site, the overall market and its future potential. By using the latest GIS we can create a new model for future climate finance initiatives. We aim to decrease the cost of feasibility investigations, provide transparency and accelerate the regulatory and investment decisions in Eco Commerce projects.
New GIS software can assist in analysis, planning and policy formulation providing a multi-layered and useful picture for both policymakers and potential investors. GIS can generate realistic cost-benefit projections for different financial incentives and energy development policies, and this will in turn help local decision makers.
GIS delivers information on weather patterns, sunshine, rainfall and combined this with other existing data sets on electricity grid lines, road network, topography, population density, and land use patterns provided by Energy Commissions, Meteorological Service Agencies, and Forestry Commissions. Data can be incorporated into an integrated GIS tool that can create and print detailed maps of a given area, overlay color schemes, create different business and policy scenarios, and calculate the resulting costs, energy generation and emissions effects. Such programs offer the potential for scaling up as climate change mitigation actions.
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