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Current
Land Use Impacts on Bird Song Acoustics
Recently this spring, Dr. Holder and I were awarded an grant from UCCS's Undergraduate Research Academy. For this project Dr. Holder and I are investigating the spatial and phenotypical behaviors of birds in the Colorado Springs area. Birds are some of the most important organisms on earth. They are drivers of pollination, predation, and dispersal. By looking at the bioacoustics of avian species, we can look at the implications of a changing environment with factors such as climate change and urban sprawl. Five different land cover classes in the Colorado Springs area will be selected based on the Multi-Resolution Land Characteristics Consortium (MRLC, 2024) using supervised classification tools in remote sensing: 1) undeveloped, 2) developed-open space, 3) developed low intensity, 4) developed-medium intensity, and 5) developed-high intensity. For each land cover class, a two hour continuous recording was conducted.
These recordings were made using microcomputer audio recording devices called AudioMoths from Open Acoustic Devices. These recordings were conducted 1 hour before and after sunrise and automatically start based on their relation to sunrise, given the coordinates programed into the device. The recordings will be batched together by similar sounds using a cluster analysis using Kaleidoscope Pro, a software application from Wildlife acoustics. From here we will be able to further analyze acoustic signatures like frequency and duration. With the cluster analysis we can also
verify the same species. Which from here we are collecting the audio signatures from the spectrograph and comparing each species song or call with the same species found in other land use classes using data collected from their spectrogram.
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Geospatial analytics and geovisualizations created through UCCS' GIS Certificate program.
Wildlife risk in the San Luis Valley prediction map created in Arc GIS Pro using multispectral data provided by Copernicus' Sentinel 2 satellite. By weighting aspect, elevation, and slope from 10m Colorado DEM data, a prediction is added when ordering raster values into 3 classes.
Job inflow from all NCAIS sectors showing the movement of employed U.S. citizens from the other 49 States to Indiana. This visualization was created with R Studio's ggplot2 function using the U.S. Census Bureau's Job2Job data.
Quick Drought Response Index
Quick Drought Response Index
Multispectral Index using Landsat data provide by the USGS's Earth Explorer. Values that correlate to drier values are represented in red while wetter values are represented by blue.
DRI = (NIR - SWIR) / (NIR + SWIR)
Additional geovisualization of Job inflow to Indiana from other U.S. states using R studio's ggplot2 function.
2023 Colorado Springs Motorcycle Accidents
2023 Colorado Springs Motorcycle Accidents
Motorcycle accidents reported by CSPD mapped using R Studio's tmap function. Cartographic data like roads and boundaries are provided by the U.S. Census Bureau.
Population trend line graph created in R studio using U.S. Census Bureau data and coded through the ggplot2 function.
Bar graph created in R Studio by cleaning and manipulating the data using the dpylr and plotting using the ggplot2 function. Data provided by Colorado Parks and Wildlife Bear Media Kit.
Using functions like ggplot2 and dplyr in R Studio, percentages can be calculated and bar graphs can be made.
Using the box plot operation under the ggplot2 function you can create boxplots to represent counts like jobs based on sector.
Number of bear sightings by Colorado Parks and Wildlife Region in relation to Drought
Number of bear sightings by Colorado Parks and Wildlife Region in relation to Drought
Using fields like shape_area and shape_length provided by CPW's geospatial database boundaries were created using R Studio's geom_polygon function. Drought data from NOAA's drought monitor was then added into each polygon with level 5 being the driest and level 1 being the most moist. Bear reports were added by csv format as point data is not available due to privacy.
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