Durham Urban Canopy Analysis and Enhancement Initiative (DUCAEI)

Durham Urban Canopy Analysis and Enhancement Initiative (DUCAEI)

The Class is a custom dataset class that brings together information from two distinct domains into a unified dataset. This class is designed to streamline the process of working with data from different sources and enable users to seamlessly access and analyze combined datasets.

The Durham Urban Canopy Analysis and Enhancement Initiative (DUCAEI) is committed to utilizing the Trees & Planting Sites dataset for a comprehensive geospatial analysis of Durham's urban tree canopy. Through Python within Google Colab, our aim is to identify key locations for canopy expansion, evaluate the impact of urban development on green spaces, and deliver informed recommendations for the sustainable growth of urban tree coverage.

Background and Rationale

Durham's urban tree canopy is a crucial component that contributes to environmental quality, public health, and overall city aesthetics. This canopy is under threat due to ongoing urban development and natural wear. A systematic, data-driven approach is critical for strategic planning and conservation of the urban forest to ensure its vitality for generations to come.

Data Sources and Methodology

These data files are from durham open.

And for the .py file:

The provided Python script defines a dataset class named DurhamTrees using the datasets library. This class combines information from two different domains ("class1_domain1" and "class2_domain1") and includes features from both domains.

Trees & Planting Sites Dataset: Hosted on the Durham Open Data portal, this dataset includes location, species, size, and health of street trees, alongside designated future planting sites. Data Source: Durham Trees & Planting Sites Dataset https://live-durhamnc.opendata.arcgis.com/datasets/DurhamNC::trees-planting-sites/about