Search Results - Graphic methods.

A simple graphical method for the comparisons of mortality, recruitment and other count defined 'event-rates' by Sheil, Douglas

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Analysis of Molecular Variance (AMOVA) with vegan and BiodiversityR, including a graphical method to identify potential migrants by Kindt, R.

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Livestock Greenhouse Gas Emissions in Ethiopia by region: a graphic summary by Bateki, Christian A, Wilkes, Andreas, Wassie, Shimels Eshete

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The feasibility of implementing food-based dietary guidelines and food graphics in Ethiopia by Bekele, Tesfaye Hailu, Covic, Namukolo M., Alemayehu, Dawit, Trijsburg, Laura E., Brouwer, Inge D., Feskens, Edith J., Vries, Jeanne de

“…This study aimed to test the acceptability, cultural appropriateness, consumers' understanding, and practicality of the Ethiopian food-based dietary guideline's messages, tips, and food graphics. A qualitative study design was applied with focus group discussions and key informant interviews. …”
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Under himlen, på gränssnittet till land och hav : arbete med gränssnittet mellan land och hav på Inre Hamnen i Helsingborg by Smits, Christiaan

“…The new interesting yet safe relationships between land and sea in the site of Inre Hamnen are communicated in the form of a graphic narrative. A graphic narrative that takes you on a fictive journey that allows the reader to experience the new waterfront.…”

Graphical approaches to support the analysis of linear-multilevel models of lamb pre-weaning growth in Kolda (Senegal) by Lancelot, R., Lesnoff, Matthieu, Tillard, E., McDermott, John J.

“…This study highlighted the usefulness of graphical methods in their analysis through: (1) the choice of the fixed and random effects and their structure, (2) the assessment of goodness-of-fit and (3) distributional assumptions for random effects and residuals. …”
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High-throughput functional annotation and data mining with the Blast2GO suite by Gotz, Stefan, García-Gómez, Juan M., Terol, Javier, Williams, Tim D., Nagaraj, Shivashankar H., Nueda, María J., Robles, Montserrat, Talón, Manuel, Dopazo, Joaquín, Conesa, Ana

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Statistical analysis for plant genetic resources: Clustering and indices in R made simple by Grum, M., Atieno, F.

“…This handbook aims to give researchers tools and methods to analyse mathematically complex morphological characterization data. …”
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REMATTOOL-R: a smart tool for identifying superior maize genotypes from multi-environment yield trials by Machida, Lewis, Huerta Rodriguez, Francisco, Makumbi, Dan, Tarusenga, Murisi

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Método intuitivo para el cálculo de excedentes hídricos: estudio caso del área central de Córdoba, Argentina = Intuitive method for the calculation of water surpluses: case study o... by Karlin, Marcos Sebastián, Alvarez, María Paula, Cora, Amanda, Bernasconi Salazar, Javier R., Esmoriz, Gustavo Francisco

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FielDHub: A shiny app for design of experiments in life sciences by Murillo, Didier A., Gezan, Salvador A., Heilman, Ana M., Walk, Thomas C., Aparicio, Johan Steven, Horsley, Richard D.

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Ensemble machine learning prediction of drivers affecting rice and wheat yield, greenhouse gas emissions, and yield-scaled emissions in Bangladesh by CGIAR Research Program on Climate Change, Agriculture and Food Security

“…Although very preliminary, to our knowledge, this is the first attempt at ensemble machine learning applied to agricultural research and the analysis of 'big data' from farms. In addition, methods have been developed in R to graphically explore the relationships between drivers and predicted outcomes using partial dependency plots.…”
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Preliminary approach for the detection of olive trees infected by Xylella fastidiosa using a field robot and proximal sensing by López, Santiago, Cubero, Sergio, Aleixos, Nuria, Alegre, Vicente, Rey, Beatriz, Aguilar, Enrique, Blasco, José

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EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis by Pulido Tamayo, Sergio, Duitama, Jorge, Marchal, Kathleen

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DAVID: A disease and vector integrated database by Robinson, Timothy P.

“…This paper discusses the database design; data entry and verification; and output. Examples of graphic output from the DAVID programe are presented.…”
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COVID-19 and the beef market in Latin America: An impact assessment by supply and demand by Tejada Mejía, Daniela, Díaz, Manuel Francisco, Enciso, Karen, Junca Paredes, Jhon Jairo, Sandoval, Danny, Burkart, Stefan

“…This study contributes to the literature through a comprehensive impact analysis of the effects of COVID-19 on both the demand and supply of beef in Latin America and thus provides valuable information for two of the most important links of the beef value chain. Robust econometric methods and a graphic analysis were used that give solidity to the investigation. …”
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Individuell platsidentitet och gemenskapen mellan platser : ett gestaltningsprogram för Entréplats Fulufjället by Skarin, Hannes

A gap analysis modelling framework to prioritize collecting for ex situ conservation of crop landraces by Ramírez Villegas, Julián, Khoury, Colin K., Achicanoy, Harold A., Méndez, Andres C., Díaz, Maria Victoria, Sosa, Chrystian C., Debouck, Daniel G., Kehel, Zakaria, Guarino, Luigi

“…The degree of representation of crop landrace diversity in ex situ conservation is poorly under-stood, partly due to a lack of methods that can negotiate both the anthropogenic and environmental determinants of their geographic distributions. …”
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Uso del analisis bivariado para presentar, analizar e interpretar datos provenientes de cultivos asociados by Moreno B., A.

“…The application of significance tests and graphic analysis to these data is also indicated. …”
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AMMI and GGE Biplot Analyses for Mega-Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L.) Genotypes for Multiple Environments by Wodebo, Kibreab, Tolemariam, Taye, Demeke, Solomon, Garedew, Weyessa, Tesfaye, Tessema, Ekule, Muluken, Gemiyu, Deribe, Bedeke, Worku, Wamatu, Jane, Mamta, Sharma

“…The genotype, environment, and genotype x environment interaction had extremely important effects on the biomass yield of oats. The findings of the graphic stability methods (additive main effect and multiplicative interaction and the genotype and genotype–environment interaction) for identifying high-yielding and stable oat genotypes were very similar.…”
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