What are we? Statistical Ecologists or Ecological Statisticians?
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- Statistical ecologists combine statistics and ecology to analyze ecological data and develop models. However, some argue the fields have become too separated. - Ecological data is often complex and messy, requiring careful statistical modeling approaches. Statistical ecologists have developed models to account for issues like overdispersion in abundance data. - Statistical decomposition techniques can quantify the proportions of environmental, intraspecific, and interspecific variation in ecological data. - Species distribution models use occurrence and climate data to predict habitat suitability, but remain "black boxes" to many ecologists. Sampling issues also impact these models.
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nyai.co
Data, data, data
The document discusses data, data science, and finding data sources. It defines data as raw facts about the world and notes that data comes from various sources like government, scientific research, citizens, and private companies. It then discusses the growth of digital data and issues around open data. The document defines data science as using analysis methods to describe facts, detect patterns, and test hypotheses. Finally, it provides tips on finding needed data, such as searching open data sources, APIs, scraping, and joining datasets.
Looking for Data: Finding New Science
Keynote for STM innovations seminar 2014: http://www.stm-assoc.org/events/stm-innovations-seminar-u-s-2014/
Open Data and the Social Sciences - OpenCon Community Webcast
The document discusses issues with transparency and reproducibility in social science research. It notes that research influences policy and decisions that affect millions of lives. However, weak academic norms like publication bias, p-hacking, non-disclosure, and failure to replicate can distort the body of evidence. The document proposes solutions like pre-registering studies and pre-specifying analyses to address these issues. It also discusses resources and efforts like the Berkeley Initiative for Transparency in the Social Sciences to raise awareness, foster adoption of transparent practices, and identify strategies to improve reproducibility.
2014 aus-agta
This document discusses the challenges and opportunities presented by the increasing volume and complexity of biological data. It outlines four main areas: 1) Developing methods to efficiently store, access, and analyze large datasets; 2) Broadening our understanding of gene function beyond a small number of well-studied genes; 3) Accelerating research through improved sharing of data, results, and methods; and 4) Leveraging exploratory analysis of integrated datasets to generate new insights. The author advocates for lossy data compression, streaming analysis, preprint sharing, improved metadata collection, and incentivizing open data practices.
Knowledge Graph Maintenance
Presentation for NEC Lab Europe.
Knowledge graphs are increasingly built using complex multifaceted machine learning-based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. I present work on combining knowledge graph construction (e.g. information extraction) and refinement (e.g. link prediction) in end to end systems. In particular, I will discuss recent work on using inductive representations for link predication. I then discuss the challenges of ongoing system maintenance, knowledge graph quality and traceability.
Module 1 - Data Around Us .pptx
This document provides an overview of data including definitions of key terms like data, information, primary and secondary data sources, qualitative and quantitative data, and discrete and continuous variables. It discusses the importance of data for decision making, problem solving, innovation and more. The evolution of data storage technologies from the 1960s to present is reviewed, from punch cards to modern cloud storage. Primary data sources include surveys, interviews, observations and questionnaires, while secondary data comes from published sources like books, journals, newspapers and websites.
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...GigaScience, BGI Hong Kong
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: the reproducibility crisis, and the need for transparency. Melbourne University 19th September 2014HKU Data Curation MLIM7350 Class 7
Scott Edmunds slides from class 7 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering open data policy and practice, and the Hong Kong context.
2016 davis-biotech
- Biology is generating vast amounts of data from techniques like DNA sequencing that is growing exponentially. However, biology is unprepared to effectively analyze and utilize this "big data".
- There are few researchers trained in both data analysis and biology. Data is often not shared between researchers, and the current publishing system discourages open sharing of knowledge. Most computational research also lacks reproducibility.
- The presenter advocates for open science, data sharing, and improved training for the next generation of researchers in both biology and data analysis skills to help address these challenges and better leverage the growing stores of biological data.
Ict와 사회과학지식간 학제간 연구동향(23 march2013)
This document discusses trends and issues in interdisciplinary research between ICT and social sciences. It touches on several topics including:
- The emergence of data-driven science and use of digital tools for research
- Debate around claims that large datasets can replace theories and models
- Development of computational social science and e-science tools
- New roles for data and need for contextualization of big data findings
- Challenges of big data such as data gaps, biases, and ethical issues
Biomedical Data Science: We Are Not Alone
This document discusses biomedical data science and the opportunities and challenges presented by new developments in data science. Some key points:
- We are at a tipping point where biomedical research is no longer the sole leader in data science due to advances in many other fields. Biomedical researchers need to become data scientists to stay relevant.
- Data science is being driven by the massive growth of digital data and requires an interdisciplinary approach. It is touching every field and attracting many students.
- Developing effective data systems and infrastructure is a major challenge to enable open sharing and analysis of data. Initiatives are underway but more collaboration is needed across sectors.
- Advances in machine learning, like Alpha
Similar to What are we? Statistical Ecologists or Ecological Statisticians? (20)
NG2S: A Study of Pro-Environmental Tipping Point via ABMs
NG2S: A Study of Pro-Environmental Tipping Point via ABMs
Striving to Demystify Bayesian Computational Modelling
Striving to Demystify Bayesian Computational Modelling
Essay On College Education. 24 Greatest College Essay Examples RedlineSP
Essay On College Education. 24 Greatest College Essay Examples RedlineSP
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...
Open Data and the Social Sciences - OpenCon Community Webcast
Open Data and the Social Sciences - OpenCon Community Webcast
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
Scott Edmunds talk at G3 (Great GigaScience & Galaxy) workshop: Open Data: th...
More from Bob O'Hara
Integrated modelling Cape Town
This document outlines work being done to develop models for predicting species distributions. It discusses how biodiversity data can be messy and biased due to complicated ecological processes and uneven observer effort. The work aims to create a single framework that accounts for classification errors, detection biases, and the true underlying distributions using point process models. Multiple data types and contributions from various researchers are helping to integrate these different components into unified models that can be applied to many species distributions.
What, exactly, is a biotic interactions?
This document discusses the definition of a biotic interaction. It notes that for many interactions, the species do not directly interact but rather affect each other indirectly through their effects on shared resources or other parts of the environment. Direct interactions involve one species directly doing something to another, such as predation, parasitism, or pollination. Mediated interactions occur when two species affect a shared environment. Indirect effects through a third species or the environment may or may not qualify as a biotic interaction, depending on whether there are feedbacks between the species populations. The document concludes that biotic interactions can be defined as ecological effects between species that occur through individual behaviors and involve feedbacks between the populations.
Discrete talk
Talk to Montpellier, Nov 43 2015 about extending point process modelling to include different data types.
BES/SfE talk 2014
This document presents a unified framework for combining disparate data types in species distribution modelling using point process models. It describes how point process models represent species density as an intensity surface and can accommodate different data types, such as presence-only, abundance, and presence/absence data. An example application to a bird species demonstrates how combining data sources leads to a better predicted distribution than using each data source individually. The framework allows both positional and density information to be retained while approximating the intensity surface.
Gf o2014talk
This document presents a unified framework for combining different data types in species distribution modelling. It proposes using a single continuous density model rather than separate models. Observation data like presence-only points, abundance counts, and expert ranges can then be modeled as coming from the same underlying density through different observation processes. This allows integrating data from various sources like museums, citizen science, and surveys in a unified Bayesian modeling approach using integrated nested Laplace approximations for efficient inference. The framework is demonstrated on modeling the distribution of the solitary tinamou using different data types.
Combining Data in Species Distribution Models
This document discusses combining different types of species occurrence data in species distribution models. It describes point process models that can incorporate presence-only data, abundance data, expert range maps, and citizen science observations. These different data sources are combined and fit using integrated nested Laplace approximations (INLA) to predict distributions for a case study of the solitary tinamou. The results show that expert range maps and citizen science data drive the predicted distribution, with net primary productivity being the most important environmental covariate over forest cover and altitude.
Iwsmbvs
This document discusses Bayesian variable selection methods for regression models. It begins by reviewing traditional ANOVA tables and their limitations for modern applications with many variables, such as GWAS studies. It then introduces Bayesian approaches using priors to perform variable selection by building it into the regression model. Several variable selection methods are described that use different prior distributions, such as slab and spike priors, the stochastic search variable selection (SSVS) method, and the normal-exponential-gamma (NEG) distribution. The document discusses how these methods can be implemented using MCMC sampling and compares their performance. It also discusses some extensions like using random effects and polynomial terms.
Isec2012 o hara
This document summarizes a presentation on modeling speciation and extinction rates in fossil mammals over time. It describes a database of 282 fossil mammal species found at 347 European sites dating back 25 million years, with dating methods including paleomagnetism and oxygen isotopes. A Bayesian model is developed using MCMC to estimate speciation and extinction times based on species presences at sites, while accounting for dating uncertainties. The model fits speciation and extinction rates as logistic regressions on species and site effects. Results show estimated site dates look reasonable but calibration could be improved. Future work aims to incorporate spatial effects and trait-based "frailty" models to understand drivers of speciation and extinction.
Interaction networks
This document proposes using statistical models to better analyze and understand ecological interaction networks. It outlines some of the limitations of current network statistics approaches when dealing with uncertain or incomplete data. The key ideas are:
1) Modeling interaction rates at the individual level, accounting for factors like species abundances and individual preferences.
2) Aggregating individual interaction rates to estimate species-level interaction rates.
3) Using log-linear models to separate out different factors influencing interaction rates, like species "palatability" and "hungriness".
4) Simulating interaction networks to test how well the proposed modeling approach performs compared to current statistics.
Meta analyses
This document provides an introduction and overview of meta-analysis. It discusses that meta-analysis allows researchers to combine results from multiple studies examining the same topic. The document outlines the basic steps of meta-analysis, including searching the literature to identify relevant studies, choosing an effect size statistic to combine results, calculating and presenting summary statistics using forest plots, and addressing potential biases. Meta-analysis has become popular for synthesizing evidence in fields like education and medicine and is increasingly being used in applied ecology.
Blogging
This document outlines seven rules for blogging about science: write down half-formed thoughts, link to other people's work, use multimedia like images and videos, make posts as long or short as needed, encourage comments on posts, reply to other people's comments, and enjoy the blogging process.
Lammi2011
This document discusses modeling species distributions based on interactions between climate and habitat. It summarizes a study that used distribution data from 12 habitat types and 3 climate variables to model how two butterfly species' habitat use changes with climate. The study found that adding coniferous forest reduced one species' presence in some areas but improved it in others. For another species, adding grassland habitat improved its presence while adding bare ground reduced it. The study also showed how this species' distribution changed with increasing growing degree days. It concludes that improving marginal habitat or weather conditions could help species at their range margins.
SDM Observer Models
The document discusses hierarchical models for species distributions and the importance of including sampling models in species distribution modeling. It presents different observation models (Binomial, Poisson, Bernoulli, no observation model) that account for sampling effort and compares their predictions on species distribution data from the UK. The key points are that sampling effort needs to be measured and accounted for, different effort estimates can lead to different sampling models, and sampling models should be included in species distribution modeling to improve predictions.
Multispecies Distribution Models
This document discusses methods for multi-species range modeling using presence-only data. It presents a Bayesian model that estimates species distributions and sampling effort simultaneously using a mixture of normal distributions. The model is applied to data on the distributions of 8 common butterfly species in the UK. Maps of predicted species presence and effects of habitat, observation effort, latitude and longitude on detectability are presented.
Populations
Populations are not precisely defined and their boundaries depend on the context and purpose of study. Different methods for defining populations can produce different results, suggesting populations are not "mind independent" but are pragmatically constituted based on the investigation. The document discusses various approaches to defining populations based on neutral markers or interactions between individuals, and notes defining populations with clustering algorithms requires care as the number of inferred populations depends on parameters that may not accurately reflect biological populations.
Web20
Web 2.0 allows for interactivity and dialogue as visitors can interact through applications like blogs, wikis, forums, and social networks, which spawned from improvements over the static Web 1.0 where people could only read. Web 2.0 technologies like wikis, blogs, and RSS feeds can help scientists by enabling interaction and sharing of information.
More from Bob O'Hara (16)
Recently uploaded
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
Cytokines and their role in immune regulation.pptx
This presentation covers the content and information on "Cytokines " and their role in immune regulation .
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
bordetella pertussis.................................ppt
Bordettela is a gram negative cocobacilli spread by air born drop let
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
SAR of Medicinal Chemistry 1st by dk.pdf
In this presentation include the prototype drug SAR on thus or with their examples .
Syllabus of Second Year B. Pharmacy
2019 PATTERN.
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterTexas Alliance of Groundwater Districts
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting20240520 Planning a Circuit Simulator in JavaScript.pptx
Evaporation step counter work. I have done a physical experiment.
(Work in progress.)
ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsUnlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/Recently uploaded (20)
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
bordetella pertussis.................................ppt
bordetella pertussis.................................ppt
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
What are we? Statistical Ecologists or Ecological Statisticians?
- 1. Slides from https://www.slideshare.net/oharar Twitter: @bobohara Full slides link: https://www.slideshare.net/oharar/what-are-we- statistical-ecologists-or-ecological-statisticians/
- 3. ● Crispin: UNTB – combine stats & ecology
- 4. ● Crispin: UNTB – combine stats & ecology Ecological Theory + Data + Statistics = Knowledge
- 5. What are we? Statistical Ecologists or Ecological Statisticians? Bob O'Hara Senckenberg BiK-F Frankfurt am Main, Germany
- 6. Statistician Ecologist Source: Wikipedia http://bit.ly/1PLq3rG
- 7. Ecology isEcology is ComplicatedComplicated Data is (or are) messyData is (or are) messy
- 8. Abundance – Range Size Meanabundance Joint work with Johan Kotze Statistical artefact?
- 9. Typical data for one species Need to model abundance carefully
- 10. The Augmented Truncated Negative Binomial Distribution Fit inflation with an EM algorithm
- 11. All to get this...
- 12. From the other end: ecological models Public Domain, https://commons.wikimedia.org/w/index.php?curid=445086
- 13. A Gompertz Model nt=nt−1r I −Ant−1t log Abundances Growth rates Density Effects Environmental shocks Work by Crispin Mutshinda-Mwanza, and Ian Woiwod
- 15. Proportions of Environmental Variance 0 . 0 0 . 2 0 . 4 0 . 6 0 . 8 1 . 0 A.exclamationis D.mendica X.xanthographa N.pronuba O.gothica H.alsines M.secalis C.trapezina A.macilenta C.vacinii H.proboscidalis H.grisealis L.holsatus C.maenas C.pagarus P.serratus P.montagui C.crangon P.sivado L.limanda L.liparis M.merlangus P.flesus P.minutus S.solea S.sprattus T.luscus T.minutes S.ruticilla E.minimus V.olivaceus D.caerulescens S.aurocapillus D.ordii D.spectabilis P.flavus ProportionofEnv.Variance M o t h s C r u s t a c e a F is h B ir d s R o d e n t s Sampling variation also estimated
- 16. Statistics is big and difficult
- 17. What can ecologists do?
- 18. What can ecologists do? Think!
- 19. Species Distribution Models Source: Wikimedia, US Govt http://www.ntsb.gov/aviation/CVR_FDR.htm
- 20. Species Distribution Models Source: Swedish Accident Investigation Authority
- 21. A simplified and not wholly inaccurate explanation of how SDMs are developed by ecologists
- 22. Step 1: get occurrence data from GBIF
- 23. Step 2: get climate data from WorldClim
- 24. Step 3: put data into a black box
- 25. From Alejandro Ruete's talk at ISEC 2014 Step 4
- 26. Show that sampling issues are important What can we do?
- 27. ● Software – MEE Applications – Ecography unmarked
- 28. A Typical Discussion of P-values Source: https://www.flickr.com/photos/madaise/2612487968
- 29. My Thoughts on P-values Source: https://www.pexels.com/photo/cars-nature-hd-wallpaper-54277/
- 30. Missing the bigger issue(s): converting numbers into knowledge p-values are seductive
- 32. “Bayes factors ... are not without their own complications, … [b]ut, if they were more widely used, rules would evolve.” http://science.sciencemag.org/content/352/6290/1180.full
- 33. NO! Bayes Factors are NOT the answer “Bayes factors ... are not without their own complications, … [b]ut, if they were more widely used, rules would evolve.” http://science.sciencemag.org/content/352/6290/1180.full
- 34. Bottom line: p-values are tools All tools will be abused
- 35. There are often better statistics Try to be less abstract
- 36. Visualisation and Sponge Bacteria Work by Johannes Björk Crappy graphs by me Positive Negative
- 38. The distance between ecological models and data is big A lot of statistics in ecology seems to increase it
- 39. We need to be able to communicate with each other (less equations?)
- 40. We are both statistical ecologists and ecological statisticians
- 41. The End