Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Marking Boundaries of a Site Using a Compass01:12

Design Example: Marking Boundaries of a Site Using a Compass

Marking site boundaries using a compass is a precise surveying technique that ensures the accuracy of boundary delineation. The process begins by using provided site details, including the bearings and lengths of each boundary line. The initial step involves calculating latitudes and departures for all sides of the site. This computation verifies that the traverse is free of errors, ensuring a closed and accurate boundary.The process starts at a known point, such as Point A, which is often...
Adjusting a Traverse01:12

Adjusting a Traverse

In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
Numerical Calculations01:24

Numerical Calculations

In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Equine Suture Exostosis: A Review of Cases from a Multicenter Retrospective Study.

Veterinary sciences·2022
Same author

Exploration of the Fecal Microbiota and Biomarker Discovery in Equine Grass Sickness.

Journal of proteome research·2018
Same author

Dental Disease in Aged Horses and Its Management.

The Veterinary clinics of North America. Equine practice·2016
Same author

Partial ostectomy of the dens to correct atlantoaxial subluxation in a pony.

Veterinary surgery : VS·2011
Same author

Evaluation of the 2009 rehearsal and lessons learned for the 2011 Census.

Population trends·2010
Same author

Complications of equine oral surgery.

The Veterinary clinics of North America. Equine practice·2009
Same journal

How have administrative sources been used to adjust population estimates and set plausibility ranges?

Population trends·2011
Same journal

Mortality of the 'Golden Generation': what can the ONS Longitudinal study tell us?

Population trends·2011
Same journal

Civil partnerships five years on.

Population trends·2011
Same journal

A new area classification for understanding internal migration in Britain.

Population trends·2011
Same journal

Reweighting the general household survey 1979-2007.

Population trends·2011
Same journal

How serious is the modifiable areal unit problem for analysis of English census data?

Population trends·2011
See all related articles

Related Experiment Video

Updated: Jun 3, 2026

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

2011 Census Field design: getting the numbers right.

Neil Townsend1

  • 1Office for National Statistics.

Population Trends
|April 6, 2011
PubMed
Summary
This summary is machine-generated.

Over 30,000 temporary field staff collected census questionnaires in March 2011. This article details their roles, structures, and processes for handling returns and non-responders, incorporating lessons from the 2001 Census.

More Related Videos

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jun 3, 2026

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

  • Demography
  • Sociology
  • Public Administration

Background:

  • The 2011 Census employed over 30,000 temporary field staff.
  • Previous census operations, particularly the 2001 Census, provided valuable lessons learned.
  • Societal and technological changes since 2001 influenced census operations.

Purpose of the Study:

  • To summarize the critical role of field staff in the 2011 Census.
  • To outline the structures and processes for managing returned questionnaires.
  • To detail strategies for addressing non-respondents in the census enumeration.

Main Methods:

  • Deployment of a large temporary field workforce.
  • Development of specific protocols for questionnaire collection from households and communal establishments.
  • Implementation of revised procedures based on prior census experiences and contemporary advancements.

Main Results:

  • Successful engagement of a substantial temporary workforce for census data collection.
  • Establishment of structured workflows for processing returned census forms.
  • Application of adaptive strategies to manage census non-response.

Conclusions:

  • The effective deployment and management of field staff are crucial for census accuracy.
  • Adapting processes to societal and technological changes enhances census efficiency.
  • Learning from past census operations improves the handling of data collection and non-response.