Data Analysis

All names and claims expressed in this book of abstracts are solely those of the authors and do not represent those of the PICES Organization, nor those of their affiliated …

Fisheries, or FishSET) that provides spatial data analysis tools with which to quantify the spatial overlap … probability matrix to conduct Exploratory Time-Space Data Analysis. The findings indicate that between 2001 and …

A widely held (and sensible) view is that policy making should be based on evidence. But it often isn’t. This paper considers why this is the case for local government …

Sections 2 & 4. 60 A 2023 LGA Report emphasised data analysis and evidence-based business case development …

Regional fisheries dynamics of the of this exceptional richness of life is being threatened SWIO and their importance to the by overexploitation (especially by overfishing and IUU fishing), habitat degradation, …

processors (n = 5) Identification System (AIS) data analysis.27 This in two Mozambican fishing communities … AIS, or not at all. For example, based on AIS data analysis.366 a 2024 study in the academic journal Nature …

This, the seventh edition of the AI Index arrives at a moment when AI’s influence on society has never been more pronounced. This year, we have broadened our scope to …

chapter and section for their contributions of data, analysis, advice, and expert commentary included in …

Governments are progressively integrating data-driven algorithmic systems into critical domains related to the health and welfare of people with disability. These applications encompass tasks such as detecting benefit fraud, assembling …

Collaborating with researchers from� the Human Rights Data Analysis Group, the ACLU aimed to independently assess …

The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the 15th Conference of the Parties to the Convention on Biological Diversity …

(2022). 70. R. hijmans, raster: Geographic data analysis and modeling. R package version 2.3- 12., R: … Bivand, e. Pebesma, M. d. Sumner, terra: Spatial data Analysis, 26.03.2023. Spatial data Science with R and …

The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss …

explore advanced data analysis tools rooted in topology, known as topological data analysis (TDA), which … of movement The underpinning of topological data analysis (TDA) is rooted in structures in the data’s … machine learning Next, we employed topological data analysis (TDA) to compute a diverse array of topological … longitude, and elevation information. Topological data analysis (TDA) is employed to extract the geometrical … Rate (see Note S8 and Fig. S7). Topological data analysis (TDA) quantifies the multidimensional shape of …

This study’s aim was to assess the growing flood risk Sao Tome and Principe (STP) faces due to climate change. It achieved this by carrying out a nationwide risk assessment …

by means of geostatistical operations and data analysis, which included geolocating and mapping relevant …

Eastern Africa and Arabia were major hominin hotspots and critical crossroads for migrating towards Asia during the late Pleistocene. To decipher the role of spatiotemporal environmental change on human occupation …

as increased dust) (Grant et al., 2017). 4. Data analysis methods The XRF data set of the KL 15 core … could have influenced human livelihood. 5. Data analysis results In this study, we have examined the …

Process-based forest models combine biological, physical, and chemical process understanding to simulate forest dynamics as an emergent property of the system. As such, they are valuable tools to investigate the …

database format and can be accessed from all major data analysis platforms. One SQLite database 30 contains …