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Global Shipping Watch is a data platform that matches cargo records with vessel movements from the Automatic Information System (AIS) to attribute maritime emissions to specific companies, products, and countries. By addressing the previous inability to associate emissions with individual cargo owners, the tool aims to improve scope 3 carbon reporting and life-cycle analyses. The initial 2019 data release covers US imports and exports, as well as exports from Brazil, Chile, Peru, and Indonesia.

The document provides an overview of data-limited assessment methods and adaptive management frameworks, such as FISHE, to help governments identify overfished stocks and implement subsidy prohibitions even when comprehensive quantitative data is unavailable.

The document categorises natural capital tools into six technical groups: biodiversity footprint, mapping, qualitative/quantitative, monetary, absolute ecological performance, and integrated accounting. It distinguishes between tools oriented toward economic performance (utilitarian interests) and those oriented toward ecological performance (strong sustainability), advocating for the latter to ensure activities remain within planetary boundaries.

The document discusses the health, environmental, and climate impacts of traditional biomass fuel use for cooking, noting that 2.7 billion people rely on such fuels. It argues that previous efforts to introduce efficient stoves failed because they neglected user needs and preferences. To address this, SEI is employing stated-preference survey tools and qualitative 'generative' ethnographic research to understand household decision-making and desires.

The Resources and Energy Analysis Programme (REAP) is an environmental analysis tool that uses an environmentally extended input-output model to assess the global environmental impact of consumption at national, regional, and local levels. It tracks greenhouse gases, ecological footprints, and energy sources across the entire life cycle of products and services, including imports. The tool includes a scenario function to model the effects of political decisions, population changes, and shifts in consumption or transport habits. Originally developed in the UK in 2006, a Swedish version was introduced in April 2011.

The document describes Community Based Vulnerability Assessments (CBVA) as a collaborative process using semi-structured interviews and participatory workshops to identify climate hazards and barriers to adaptation. It highlights the Local Adaptive Capacity (LAC) approach, which assesses resilience across five areas: physical, social, information and knowledge, innovation, and governance. In the Soufriére region of Saint Lucia, the LAC framework found that natural resources provided some resilience, but this was undermined by a 42.9% poverty rate, a 23.8% unemployment rate (2012), and over-reliance on tourism. The text emphasizes that local networks are most effective when they maintain strong links between community, regional, and national organizations to share information and lobby for action.

The text outlines the methodological toolkit of human geographers, distinguishing between quantitative and qualitative approaches. It explains the use of text analysis (from social media to archives), quantitative data for causal inference and pattern recognition, GIS for spatial analysis, and qualitative tools such as semi-structured interviews and focus groups. Additionally, it covers the role of visual data (remote sensing and photography) and the importance of field presence through ethnography and observation.

The document explains the methodology of extreme event attribution, which determines how much human-induced climate change has influenced the probability or intensity of a specific weather event. It provides a detailed breakdown of different types of extreme events—heatwaves, floods, tropical storms, snowfall, droughts, and wildfires—outlining where scientific confidence in climate links is high and where it remains uncertain. The guide emphasizes that while climate change influences the likelihood and severity of events, local vulnerabilities and human management often determine whether an event becomes a disaster.