{"query_echo":{"q":"","filters":{"analysis_type":["methodological overview"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'methodological overview' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":8,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodological+overview","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-001708","url":"https://climateinsightsdirectory.org/document/sei-001708","title":"Global Shipping Watch","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2022-04","source_url":"https://www.sei.org/wp-content/uploads/2022/06/sei-fact-sheet-global-shipping-watch-godar-2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"sei-001708#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Maritime shipping accounts for nearly 3% of global greenhouse gas emissions, which is a higher contribution than that of the aviation sector.","ai_generated":true,"unit":"sei-001708#insight-1","date_modified":"2026-10-23"},{"text":"A significant barrier to corporate carbon reporting and consumer understanding of footprints has been the inability to link maritime transport emissions to specific companies, products, countries, or consumer choices.","ai_generated":true,"unit":"sei-001708#insight-2","date_modified":"2026-10-23"},{"text":"Global Shipping Watch utilizes a five-step methodology to attribute emissions, which involves matching standardized cargo data with billions of AIS data points to segment vessel trajectories into journeys. Emissions are then calculated using the Fourth IMO Greenhouse Study methodology and allocated proportionally based on cargo weight and value.","ai_generated":true,"unit":"sei-001708#insight-3","date_modified":"2026-10-23"},{"text":"The platform's initial data release focuses on 2019 maritime trade, specifically covering imports and exports of the United States and exports from Indonesia, Peru, Chile, and Brazil.","ai_generated":true,"unit":"sei-001708#insight-4","date_modified":"2026-10-23"}],"climate_tags":["water transport","greenhouse gas emissions","decarbonization","Scope 3","life cycle assessment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["tool description","methodological overview"]},{"id":"iisd-001402","url":"https://climateinsightsdirectory.org/document/iisd-001402","title":"Determining the Status of Fish Stocks in Data-Poor Environments and Multispecies Fisheries","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"policy brief","language":"en","date_published":"2020-06","source_url":"https://www.iisd.org/system/files/publications/fish-stocks-multispecies-fisheries.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"iisd-001402#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Over 80% of global catches occur in fisheries that lack the data, resources, and infrastructure required for quantitative model-based stock assessments to estimate biomass and fishing mortality relative to reference points.","ai_generated":true,"unit":"iisd-001402#insight-1","date_modified":"2026-10-23"},{"text":"Conventional stock assessment methods are often unsuitable for tropical fisheries because they are typically data-intensive, based on single-species models, and fail to account for ecosystem interactions, spatial heterogeneities, or the presence of multiple interacting species and gear.","ai_generated":true,"unit":"iisd-001402#insight-2","date_modified":"2026-10-23"},{"text":"In data-poor environments, stock status can be established using empirical indicators (such as catch per unit effort, mean length of fish, or catch levels) and model-derived indicators, or through proxies when fishing mortality or biomass cannot be explicitly estimated.","ai_generated":true,"unit":"iisd-001402#insight-3","date_modified":"2026-10-23"},{"text":"The Framework for Integrated Stock and Habitat Evaluation (FISHE) is an 11-step adaptive management tool that allows for science-based regulations in resource-limited conditions by using stakeholder inputs, vulnerability assessments, and multiple independent data streams to reduce uncertainty.","ai_generated":true,"unit":"iisd-001402#insight-4","date_modified":"2026-10-23"},{"text":"Multispecies fisheries are prone to 'serial depletion,' where individual stocks are depleted sequentially. FISHE manages this by organizing species into 'baskets' or 'tiers' and using representative species for assessments to determine if target species are overfished.","ai_generated":true,"unit":"iisd-001402#insight-5","date_modified":"2026-10-23"},{"text":"For WTO subsidy negotiations, a flexible definition of 'overfished' that allows for 'alternative reference points' would enable member governments to use various indicators, proxies, or local fishers' knowledge to trigger subsidy prohibitions.","ai_generated":true,"unit":"iisd-001402#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Canada","Switzerland","Belize"],"frame_perspective":[],"analysis_type":["policy brief","methodological overview"]},{"id":"geconco-000135","url":"https://climateinsightsdirectory.org/document/geconco-000135","title":"NATURAL CAPITAL AND ORGANIZATIONS STRATEGIES: AN OVERVIEW OF AVAILABLE TOOLS","publisher":{"name":"Green Economy Coalition","organization":"green-economy-coalition"},"document_type":"guide","language":"en","date_published":"2019-10","source_url":"https://www.greeneconomycoalition.org/assets/reports/WWF-France-2019_Natural-capital-tools-guide_Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"geconco-000135#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The guidebook identifies six categories of natural capital tools based on technical features: biodiversity footprint tools, mapping tools, qualitative and quantitative tools, monetary tools, “absolute” ecological performance tools, and integrated accounting tools.","ai_generated":true,"unit":"geconco-000135#insight-1","date_modified":"2026-10-23"},{"text":"Biodiversity footprint tools, such as the Product Biodiversity Footprint (PBF) and Global Biodiversity Score (GBS), aim to represent the impact of various pressures on a common unit, typically linked to a unit of area, for reporting or strategic management.","ai_generated":true,"unit":"geconco-000135#insight-2","date_modified":"2026-10-23"},{"text":"Mapping tools like the Integrated Biodiversity Assessment Tool (IBAT) and InVEST use spatial modelling to show the location of ecosystems and ecosystem services, helping companies identify risks and opportunities regarding remarkable biodiversity.","ai_generated":true,"unit":"geconco-000135#insight-3","date_modified":"2026-10-23"},{"text":"Qualitative and quantitative tools, including the Natural Capital Protocol and the Business and Biodiversity Interdependence Indicator (BBII), help organisations describe their reliance on and impact on ecosystems to improve decision-making.","ai_generated":true,"unit":"geconco-000135#insight-4","date_modified":"2026-10-23"},{"text":"Monetary tools, such as the Guide to Corporate Ecosystem Valuation (CEV), translate environmental impacts and dependencies into economic units to integrate them into traditional cost-benefit analyses.","ai_generated":true,"unit":"geconco-000135#insight-5","date_modified":"2026-10-23"},{"text":"Absolute ecological performance tools, such as One Planet Approaches (OPA) and the Science Based Targets Network (SBTN), focus on setting environmental objectives based on the biophysical capacities of the biosphere and planetary boundaries.","ai_generated":true,"unit":"geconco-000135#insight-6","date_modified":"2026-10-23"},{"text":"Integrated accounting tools are split into microeconomic tools for organisations (e.g., <IR> and EP&L) and macroeconomic tools for territories (e.g., ENCA and SEEA) to report on the use and state of natural capital.","ai_generated":true,"unit":"geconco-000135#insight-7","date_modified":"2026-10-23"},{"text":"The document distinguishes between 'weak sustainability' (where different types of capital are interchangeable) and 'strong sustainability' (where natural capital is not substitutable due to its unique functions and scientific limits).","ai_generated":true,"unit":"geconco-000135#insight-8","date_modified":"2026-10-23"},{"text":"WWF France's Natural Capital Programme promotes tools aligned with strong sustainability and ecological performance, specifically highlighting SBTN, One Planet Thinking, CARE-TDL, ENCA, and the Future Fit Business Benchmark.","ai_generated":true,"unit":"geconco-000135#insight-9","date_modified":"2026-10-23"}],"climate_tags":["natural capital","biodiversity","ecosystem service","planetary boundary","life cycle assessment"],"geography_discussed":["France","Brazil"],"frame_perspective":[],"analysis_type":["tool review","methodological overview"]},{"id":"sei-000166","url":"https://climateinsightsdirectory.org/document/sei-000166","title":"Learning from cooks: a user-centred approach to help transform household energy use","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2012-04-24","source_url":"https://www.sei.org/publications/learning-from-cooks-a-user-centred-approach-to-help-transform-household-energy-use/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"sei-000166#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Approximately 2.7 billion people worldwide use traditional biomass—including wood, charcoal, animal waste, and agricultural residues—as their primary energy source, primarily for cooking. The inefficient burning of these fuels in poorly ventilated areas causes an estimated 1.6 million deaths annually due to acute respiratory infections.","ai_generated":true,"unit":"sei-000166#insight-1","date_modified":"2026-10-23"},{"text":"Inefficient biomass cookstoves contribute to deforestation and global warming by producing black carbon (soot), which is identified as the second-largest contributor to global warming after carbon dioxide.","ai_generated":true,"unit":"sei-000166#insight-2","date_modified":"2026-10-23"},{"text":"Long-term adoption of efficient cookstoves has been hindered by a failure to understand the specific needs, preferences, and constraints of users. In response, SEI implemented the Household Energy Economic Analysis (HHEA) from 2008-2010 using stated-preference survey tools, and has since adopted qualitative 'generative' ethnographic research to capture overt and tacit user knowledge.","ai_generated":true,"unit":"sei-000166#insight-3","date_modified":"2026-10-23"}],"climate_tags":["deforestation","climate change"],"geography_discussed":["Ethiopia","Tanzania","Mozambique","Zambia","India"],"frame_perspective":[],"analysis_type":["methodological overview"]},{"id":"sei-001710","url":"https://climateinsightsdirectory.org/document/sei-001710","title":"FACT SHEET Dataprogram: Resources and Energy Analysis Programme (REAP)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"sv","date_published":"2011","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-Factsheet-AnalysAvMiljopaverkanForHallbarUtveckling-2011.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"sei-001710#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"REAP is designed to capture the full environmental impact of consumption, which is often significantly higher than the impact of domestic production because it includes emissions from the production and transport of imported goods in other countries.","ai_generated":true,"unit":"sei-001710#insight-1","date_modified":"2026-10-23"},{"text":"The tool provides data on three primary environmental indicators: energy sources, the ecological footprint, and greenhouse gases, specifically carbon dioxide, methane, nitrous oxide, and F-gases.","ai_generated":true,"unit":"sei-001710#insight-2","date_modified":"2026-10-23"},{"text":"REAP utilizes a 'four-region' environmentally extended input-output model that tracks the flow of goods and services between Sweden and three other regions across 178 industries classified by the Standard Industrial Classification (SIC) system.","ai_generated":true,"unit":"sei-001710#insight-3","date_modified":"2026-10-23"},{"text":"The program includes a scenario tool that allows users to simulate how changes in population, housing standards, transport habits, or energy sources affect CO2 emissions and the ecological footprint.","ai_generated":true,"unit":"sei-001710#insight-4","date_modified":"2026-10-23"},{"text":"The tool was first developed in the UK in February 2006 in collaboration with WWF-UK and the Centre for Urban and Regional Ecology (CURE), and a Swedish version was launched in April 2011 with funding from WWF Sweden.","ai_generated":true,"unit":"sei-001710#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas","carbon dioxide","methane","nitrous oxide","sustainable development","energy efficiency"],"geography_discussed":["United Kingdom"],"frame_perspective":[],"analysis_type":["tool description","methodological overview"]},{"id":"cdkn-000538","url":"https://climateinsightsdirectory.org/document/cdkn-000538","title":"Community Based Vulnerability Assessments (CBVA)","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/communities_high_res_print_updated280417.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"cdkn-000538#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Community Based Vulnerability Assessments (CBVA) utilize semi-structured interviews and participatory workshops to gather nuanced local information, identifying climate hazards and the specific barriers that prevent communities from adapting to them.","ai_generated":true,"unit":"cdkn-000538#insight-1","date_modified":"2026-10-23"},{"text":"An application of the LAC framework in the Soufriére region of Saint Lucia revealed that while natural resources offered some resilience, the region's vulnerability was increased by a 42.9% poverty rate (residents living on less than $5/day), a 23.8% unemployment rate in 2012, and a heavy dependence on the tourism industry.","ai_generated":true,"unit":"cdkn-000538#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","governance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","methodological overview"]},{"id":"prio-001184","url":"https://climateinsightsdirectory.org/document/prio-001184","title":"Samfunnsgeografenes forskningsmetoder","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"report","language":"no","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/27fb36f0-5cc9-476c-969c-a7a7fce6c868/9788202899028_kap_5 1.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"prio-001184#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human geography employs both quantitative and qualitative methodologies. Quantitative geographers use statistical analysis to draw conclusions for larger samples, while qualitative geographers focus on the meaning within smaller samples. The field also emphasizes spatial data sources, particularly Geographic Information Systems (GIS) and spatial analysis.","ai_generated":true,"unit":"prio-001184#insight-1","date_modified":"2026-10-23"},{"text":"Text analysis in human geography ranges from discourse and narrative analysis of social media (such as Weibo) and archives to the study of planning documents. Modern tools and language models now allow for quantitative text analysis, such as sentiment analysis and word frequency, to map themes across space and time.","ai_generated":true,"unit":"prio-001184#insight-2","date_modified":"2026-10-23"},{"text":"Quantitative methods are used to describe spatial patterns and investigate causal inference—identifying how a change in one variable leads to a change in another. This process requires 'operationalization,' which is the translation of abstract concepts (like quality of life) into measurable indicators.","ai_generated":true,"unit":"prio-001184#insight-3","date_modified":"2026-10-23"},{"text":"Spatial data is analysed through three primary understandings of space: absolute space (coordinates and measurable distances), relative space (travel time and accessibility), and relational space (space created through social relations and practices).","ai_generated":true,"unit":"prio-001184#insight-4","date_modified":"2026-10-23"},{"text":"Conversation-based research includes life history interviews to capture personal geographies, semi-structured interviews (including elite interviews with corporate leaders), and focus groups to explore group dynamics and political distance.","ai_generated":true,"unit":"prio-001184#insight-5","date_modified":"2026-10-23"},{"text":"Visual data is utilised through remote sensing (satellite and drone imagery) to monitor environmental change or conflict damage in inaccessible areas, as well as through photography and 'auto-photography,' where participants take their own photos to show their perspective of a place.","ai_generated":true,"unit":"prio-001184#insight-6","date_modified":"2026-10-23"},{"text":"Presence-based strategies include ethnographic studies requiring long-term immersion in a culture, digital ethnography for online communities, and observational methods. Innovative techniques include 'walking interviews' (go-along interviews) to understand how physical landscapes influence social practice.","ai_generated":true,"unit":"prio-001184#insight-7","date_modified":"2026-10-23"}],"climate_tags":["remote sensing","urban planning","climate policy"],"geography_discussed":["Norway","Oslo","People's Republic of China","Africa","Ukraine","South Sudan","Uganda","United States","Canada","India","Mexico","Xalapa","Sydney","Ferghana Valley"],"frame_perspective":[],"analysis_type":["methodological overview","educational guide"]},{"id":"wwatt-000135","url":"https://climateinsightsdirectory.org/document/wwatt-000135","title":"Eventi meteorologici estremi e cambiamenti climatici","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"guide","language":"it","date_published":null,"source_url":"http://www.worldweatherattribution.org/wp-content/uploads/WWA_GuideIT_2412.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"wwatt-000135#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Event attribution science uses three primary methods to determine the influence of climate change: simulating current versus pre-industrial climates using multiple models, analyzing historical weather observations to see how probabilities have shifted, and using climate model simulations as historical observations from a specific date (e.g., 1900) to the present.","ai_generated":true,"unit":"wwatt-000135#insight-1","date_modified":"2026-10-23"},{"text":"Heatwaves are the most straightforward events to attribute; every heatwave globally is now made more intense and more likely due to human-induced climate change. An event that occurred once every 10 years in a pre-industrial climate now occurs 2.8 times every decade and is 1.2\f warmer.","ai_generated":true,"unit":"wwatt-000135#insight-2","date_modified":"2026-10-23"},{"text":"Extreme precipitation has become more common and intense globally due to human-induced climate change, particularly in Europe, most of Asia, central and eastern North America, and parts of South America, Africa, and Australia. This is largely driven by the Clausius-Clapeyron equation, where air that is 1\u0001C warmer holds 7% more moisture.","ai_generated":true,"unit":"wwatt-000135#insight-3","date_modified":"2026-10-23"},{"text":"While the total annual number of tropical storms has not changed globally, the frequency of the most intense and destructive storms (Categories 3-5) has increased. Climate change has specifically amplified precipitation in storms like Harvey, Katrina, and Irma, and increased storm surge heights due to sea-level rise.","ai_generated":true,"unit":"wwatt-000135#insight-4","date_modified":"2026-10-23"},{"text":"Extreme cold events have become less probable and less intense worldwide due to climate change. The impact on heavy snowfall is more uncertain, though intensity may have increased in parts of North America, Greenland, and eastern/northern Asia since the 1950s.","ai_generated":true,"unit":"wwatt-000135#insight-5","date_modified":"2026-10-23"},{"text":"Droughts are becoming more frequent and severe due to climate change only in specific regions: Europe, the Mediterranean, Southern Africa, Central and Eastern Asia, Southern/Western Australia, and Western North America. This is caused by increased evaporation and a shift toward more intense but sporadic rainfall.","ai_generated":true,"unit":"wwatt-000135#insight-6","date_modified":"2026-10-23"},{"text":"The probability of 'fire weather' (conditions of temperature, drought, and wind) is increasing on every continent. This is clearly attributable to climate change in Southern Europe, Northern Eurasia, the United States, and Australia, with emerging signals in Southern China.","ai_generated":true,"unit":"wwatt-000135#insight-7","date_modified":"2026-10-23"},{"text":"A weather event becomes a disaster based on societal vulnerability, exposure, and human management (such as land use, water management, and fire prevention) rather than the meteorological event alone.","ai_generated":true,"unit":"wwatt-000135#insight-8","date_modified":"2026-10-23"}],"climate_tags":["extreme weather event","extreme event attribution","climate change","heat wave","flood","tropical cyclone","hurricane","drought","wildfire","sea level rise","climate change communication","climate change vulnerability","climate change adaptation"],"geography_discussed":["Europe","Bangladesh","India","Pakistan","Canada","United States","Cape Town","South Africa","Australia"],"frame_perspective":[],"analysis_type":["guide","methodological overview"]}]}