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Baltimore Ecosystem Study: Estimates of population in focal watersheds based on 2010 census

General Information
Data Package:
Local Identifier:knb-lter-bes.5005.4
Title:Baltimore Ecosystem Study: Estimates of population in focal watersheds based on 2010 census
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This dataset includes population estimates for eight focal sub-watersheds in the Baltimore Ecosystem Study based on the proportion of 2010 census blocks located within the watershed. These data can facilitate per capita calculations of watershed fluxes.

Publication Date:2020-04-29

Time Period
Begin:
2020-01-01
End:
2010-12-31

People and Organizations
Contact:Cary Institute of Ecosystem Studies [  email ]
Creator:Fork, Megan L (Cary Institute of Ecosystem Studies)
Creator:Locke, Dexter H (Cary Institute of Ecosystem Studies)

Data Entities
Data Table Name:
BES Watershed Population
Description:
Watershed population based on 2010 census
Other Name:
R Script
Description:
R Markdown script for intersecting watershed polygons with census blocks to estimate watershed population. This script can be adapted for other watersheds and additional variables available from the US Census, as described in comments within the file.
Detailed Metadata

Data Entities

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-bes/5005/4/46e90fe061f2128835605539e7a171fc
Name:BES Watershed Population
Description:Watershed population based on 2010 census
Number of Records:8
Number of Columns:3

Table Structure
Object Name:BESwatershedPops_cblocks.csv
Size:324 bytes
Authentication:3949bfc69c4d1c3a7960169d6531a2b8 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:watershed  
adj_tot_pop  
adj_tot_pop_w  
Definition:Name of the watershedAdjusted total estimated populationAdjusted total estimated population, Rounded to a whole number
Storage Type:string  
float  
float  
Measurement Type:nominalratioratio
Measurement Values Domain:
DefinitionName of the watershed
Unitnumber
Typereal
Min0.66444557200299 
Max321677.285621636 
Unitnumber
Typenatural
Min1 
Max321677 
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Non-Categorized Data Resource

Name:R Script
Entity Type:unknown
Description:R Markdown script for intersecting watershed polygons with census blocks to estimate watershed population. This script can be adapted for other watersheds and additional variables available from the US Census, as described in comments within the file.
Physical Structure Description:
Object Name:BES_Population_per_watershed.Rmd
Size:7635 bytes
Authentication:43400ce7f5b3fbc66b389e51545c6c37 Calculated By MD5
Externally Defined Format:
Format Name:unknown
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-bes/5005/4/ac645327cf25087ee16d5fac68bbd182

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularycensus, humans, populations, watersheds, geographic information systems
BES VocabularyBES LTER, Baltimore Ecosystem Study, Maryland, spatial reweighting
USDA Forest Service National Research & Development TaxonomyEnvironment and People

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

We obtained geographic and demographic data for the 2010 US Census Bureau’s decennial Census using the package ‘tidycensus’ (Walker 2020). We then estimated the population of each watershed by intersecting the polygons describing watershed boundaries (as delineated at 1m resolution in Cary Institute of Ecosystem Studies, Lagrosa, and Welty 2017) with the 2010 Census blocks using the package ‘sf’ (Pebesma 2018). We then determined the proportion of each census block inside each watershed boundary and multiplied this by the total population in the respective census block to estimate the population of each block within the watershed. Finally, we summed the proportion-adjusted populations of all Census blocks that intersected a watershed to estimate the total population within the watershed. The result is that the estimated population is the proportion of the block in the watershed. All calculations were conducted in R version 3.6.2 (R Core Team 2019).

Cary Institute of Ecosystem Studies, J. Lagrosa, and C. Welty. 2017. GIS Shapefile, Spatial boundaries and land cover summaries for eight sub-watersheds of the Baltimore Ecosystem Study LTER ver 100. Environmental Data Initiative. https://doi.org/10.6073/pasta/ad0cce16ef6165913ea26b97e295f985. Accessed 2020-04-12.

Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009.

R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Walker, Kyle. 2020. tidycensus: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames. R package version 0.9.6. https://CRAN.R-project.org/package=tidycensus.

People and Organizations

Creators:
Individual: Megan L Fork
Organization:Cary Institute of Ecosystem Studies
Email Address:
forkm@caryinstitute.org
Id:https://orcid.org/0000-0002-7789-3316
Individual: Dexter H Locke
Organization:Cary Institute of Ecosystem Studies
Email Address:
dexter.locke@gmail.com
Id:https://orcid.org/0000-0003-2704-9720
Contacts:
Organization:Cary Institute of Ecosystem Studies
Email Address:
besim@caryinstitute.org

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2020-01-01
End:
2010-12-31
Geographic Region:
Description:Gwynn’s Falls watershed in Baltimore City and County, plus Pond Branch/Baisman Run in Baltimore County
Bounding Coordinates:
Northern:  39.49070Southern:  39.25711
Western:  -76.84181Eastern:  -76.64305

Project

Parent Project Information:

Title:LTER: Baltimore Ecosystem Study: Synthesis of long-term studies of how multiple human and biophysical factors interact to drive ecological change of an urban ecosystem
Personnel:
Individual: Emma J Rosi
Organization:Cary Institute of Ecosystem Studies
Email Address:
0000-0002-3476-6368
Role:Principal Investigator
Funding: NSF  DEB-1637661 and DEB-1855277

Maintenance

Maintenance:
Description:complete
Frequency:
Other Metadata

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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