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Citations and References

How to Cite BigMap

If you use BigMap in your research, please cite:

@software{bigmap2024,
  title = {BigMap: Forest Biomass and Species Diversity Analysis Toolkit},
  author = {Mihiar, Christopher},
  year = {2024},
  url = {https://github.com/mihiarc/bigmap-zarr},
  version = {0.2.0}
}

BIGMAP Dataset Citation

The underlying BIGMAP 2018 forest data should be cited as:

@misc{fia_bigmap2018,
  title = {BIGMAP 2018: Forest Biomass Dataset},
  author = {{USDA Forest Service}},
  year = {2018},
  publisher = {Forest Inventory and Analysis Program},
  url = {https://apps.fs.usda.gov/arcx/rest/services/RDW_Biomass/BIGMAP_2018},
  note = {30-meter resolution forest biomass data for the contiguous United States}
}

Alternative citation format:

USDA Forest Service. (2018). BIGMAP 2018 Forest Biomass Dataset [Data set]. Forest Inventory and Analysis Program. https://apps.fs.usda.gov/arcx/rest/services/RDW_Biomass/BIGMAP_2018

Diversity Index References

Shannon Diversity Index

Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

Simpson Diversity Index

Simpson, E. H. (1949). Measurement of diversity. Nature, 163(4148), 688. https://doi.org/10.1038/163688a0

Pielou's Evenness Index

Pielou, E. C. (1966). The measurement of diversity in different types of biological collections. Journal of Theoretical Biology, 13, 131-144. https://doi.org/10.1016/0022-5193(66)90013-0

General Diversity References

Magurran, A. E. (2004). Measuring biological diversity. Blackwell Publishing.

Morris, E. K., Caruso, T., Buscot, F., Fischer, M., Hancock, C., Maier, T. S., ... & Rillig, M. C. (2014). Choosing and using diversity indices: insights for ecological applications from the German Biodiversity Exploratories. Ecology and Evolution, 4(18), 3514-3524. https://doi.org/10.1002/ece3.1155

Forest Inventory and Analysis (FIA) References

Species Codes (SPCD)

USDA Forest Service. (2023). Forest Inventory and Analysis National Core Field Guide, Volume I: Field Data Collection Procedures for Phase 2 Plots, Version 9.2. U.S. Department of Agriculture, Forest Service. https://www.fia.fs.usda.gov/library/field-guides-methods-proc/

FIA Database

Burrill, E.A., DiTommaso, A.M., Turner, J.A., Pugh, S.A., Menlove, J., Christensen, G., Perry, C.J., & Conkling, B.L. (2021). The Forest Inventory and Analysis Database: Database description and user guide version 9.0.1 for Phase 2. U.S. Department of Agriculture, Forest Service. https://www.fia.fs.usda.gov/library/database-documentation/

Spatial Analysis References

Coordinate Reference Systems

EPSG. (2023). EPSG Geodetic Parameter Dataset. International Association of Oil & Gas Producers. https://epsg.org/

Snyder, J. P. (1987). Map projections: A working manual (Vol. 1395). US Government Printing Office.

Raster Processing

GDAL/OGR contributors. (2023). GDAL/OGR Geospatial Data Abstraction software Library. Open Source Geospatial Foundation. https://gdal.org

Statistical Methods

Spatial Autocorrelation

Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23. https://doi.org/10.2307/2332142

Forest Biomass Estimation

Jenkins, J. C., Chojnacky, D. C., Heath, L. S., & Birdsey, R. A. (2003). National-scale biomass estimators for United States tree species. Forest Science, 49(1), 12-35.

Example Citation Formats

APA Style

Mihiar, C. (2024). BigMap: Forest biomass and species diversity analysis toolkit (Version 0.2.0) [Computer software]. https://github.com/mihiarc/bigmap-zarr

MLA Style

Mihiar, Christopher. BigMap: Forest Biomass and Species Diversity Analysis Toolkit. Version 0.2.0, 2024, github.com/mihiarc/bigmap-zarr.

Chicago Style

Mihiar, Christopher. 2024. BigMap: Forest Biomass and Species Diversity Analysis Toolkit. Version 0.2.0. https://github.com/mihiarc/bigmap-zarr.

Acknowledgments

This work uses data from the USDA Forest Service Forest Inventory and Analysis (FIA) program. The BIGMAP dataset was developed by the FIA program to provide spatially explicit forest biomass estimates across the United States.

License

BigMap is released under the MIT License. See LICENSE file for details.

When using BigMap in publications, please ensure you also comply with any citation requirements for the underlying BIGMAP dataset and FIA data products.