Services

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Desk-based research

Desk-based research is the foundation of any effective scoping process for a research program. At GreenEarth Data Solutions, we excel in extracting data from peer-reviewed journals, grey literature, web-based resources, related project sites, other developers, and local expertise. Conducting a thorough desk-based study ensures that project baselines and Environmental Impact Assessments (EIA) are well-defined from the outset, information gaps are accurately identified, study efforts are not duplicated, and resources are used efficiently. Our targeted approach allows us to deliver cost-effective and focused studies, providing significant benefits to our clients.

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Sampling design and fieldwork preparation

GreenEarth Data Solutions offers expert Sampling Design and Fieldwork Preparation services tailored for agriculture, ecological, and environmental businesses. By creating well-structured sampling designs, we ensure that data collection efforts are both efficient and effective, preventing unnecessary costs associated with redundant or irrelevant data gathering. Our approach maximizes the usefulness of the data collected by targeting specific areas and parameters that are critical for the client’s objectives. This precision in data collection allows for more accurate and actionable insights, enabling businesses to make informed decisions and optimize their operations based on high-quality, relevant data.

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Statistical summaries

People who dismiss the importance of statistics usually don't fully understand them. Grasping statistics is essential for designing effective baseline and monitoring programs capable of detecting changes in environmental parameters. Without a solid understanding of statistics, study design, statistical power, and the final tests to be used, it can be challenging to detect significant changes without unacceptable deviations from poorly measured background levels. Regulators now demand proof that your study approach and data set can statistically detect differences, specifically asking for statistical power. Without integrating statistics from the beginning, you risk wasting years on questions that could be answered more efficiently with the correct approach. At GreenEarth Data Solutions, we excel in statistics, including complex analyses. We incorporate rigorous statistical practices into all our quantitative studies from start to finish.

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Conservation planning

Our team uses cutting edge technology to deliver conservation planning strategies using spatial conservation prioritization tools.  Spatial conservation prioritization is a strategic approach used in conservation planning to identify and prioritize geographic areas for conservation efforts. This process involves assessing and ranking different locations based on their ecological value, biodiversity significance, and other factors such as threats, costs, and feasibility of conservation actions. The goal is to allocate limited resources effectively to maximize conservation outcomes.

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Geospatial analysis

Geospatial analyses involve the collection, manipulation, and interpretation of data related to the Earth's surface. These analyses use geographic information system (GIS) technology and various spatial data sources to study patterns, relationships, and trends across geographic areas. Geospatial analyses can include mapping, spatial statistics, and modeling to address a wide range of questions and applications in fields such as environmental science, urban planning, resource management, and more. GreenEarth Data Solutions provides comprehensive geospatial analysis services by leveraging advanced GIS technologies and expertise.

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Reporting and third party review

GreenEarth Data Solutions conducts third-party reviews of major projects on behalf of non-scientists clients to ensure their voices are heard. This empowerment is achieved through:

Translating the scientific aspects of environmental impact assessments and related documents into everyday language, advising clients on the implications for the client’s concerns.

Reviewing documents for methodological flaws, information gaps, and scientific errors.