Results 71 to 80 of about 3,490,280 (180)

spsurvey: Spatial Sampling Design and Analysis in R. [PDF]

J Stat Softw, 2023
Dumelle M, Kincaid T, Olsen AR, Weber M.
europepmc   +1 more source

Optimization, Design, and Implementation of Biodiversity-Focused Fisheries Survey Stations: A Case Study of the Coastal Waters of Maoming

Progress in Fishery Sciences
Biodiversity assessment in fisheries plays a crucial role in conserving marine ecosystem diversity. Accurate survey data serve as the foundation for ensuring the precision of quantitative analysis and the effectiveness of resource conservation measures ...
Yuexiu DENG, Yongheng HUANG, Jianyu DONG, Ning CHEN, Jing ZHANG, Xuefeng WANG   +5 more
doaj   +1 more source

An improved version of systematic sampling design for use with linear trend data. [PDF]

Heliyon, 2023
Azeem M, Hussain S, Ijaz M, Salahuddin N, Salam A.   +4 more
europepmc   +1 more source

Sample Design Using Imperfect Design Data

Journal of Survey Statistics and Methodology, 2013
A well-designed sampling plan can greatly enhance the information that can be produced from a survey. Once a broad sample design is identified, specific design parameters such as sample sizes and selection probabilities need to be chosen. This is typically achieved using an optimal sample design, which minimizes the variance of a key statistic or ...
openaire   +3 more sources

Training data in satellite image classification for land cover mapping: a review

European Journal of Remote Sensing
The current land cover (LC) mapping paradigm relies on automatic satellite imagery classification, predominantly through supervised methods, which depend on training data to calibrate classification algorithms.
Daniel Moraes, Manuel L. Campagnolo, Mário Caetano   +2 more
doaj   +1 more source

A Novel Sampling Design That Considers Local Soil Heterogeneity in Both Geographical and Feature Spaces for Mapping Multiple Soil Properties at the Farm Level

IEEE Access
Sampling design plays a crucial role in managing soil variability at the farm level by ensuring the collection of reliable soil samples. Current methods focus on optimizing sample size and locations within geographic or feature space, taking a global ...
Yongji Wang, Shaoqi Li, Meizi Wang, Qingwen Qi, Peng Li   +4 more
doaj   +1 more source

Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: Efficiency versus feasibility. [PDF]

Stat Methods Appt, 2023
Alleva G, Arbia G, Falorsi PD, Nardelli V, Zuliani A.   +4 more
europepmc   +1 more source

Estimating Sampling Variance from the Current Population Survey: A Synthetic Design Approach to Correcting Standard Errors [PDF]

Essentially all empirical questions that are addressed with sample data require estimates of sampling variance. The econometrics and statistics literatures show that these estimates depend critically on the design of the sample.
Dean Jolliffe
core  

Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design. [PDF]

PLoS Comput Biol, 2022
Brennan J, Jain L, Garman S, Donnelly AE, Wright ES, Jamieson K.   +5 more
europepmc   +1 more source

Influence of sampling design on landslide susceptibility modeling in lithologically heterogeneous areas. [PDF]

Sci Rep, 2022
Dornik A, Drăguţ L, Oguchi T, Hayakawa Y, Micu M.   +4 more
europepmc   +1 more source