{"query_echo":{"q":"","filters":{"analysis_type":["temporal analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'temporal analysis' 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=temporal+analysis","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":"iai-000013","url":"https://climateinsightsdirectory.org/document/iai-000013","title":"Spatial patterns of macrofaunal community structure in coastal lagoons of Uruguay","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-17","source_url":"https://iai.int/es/pub_acad/spatial-patterns-of-macrofaunal-community-structure-in-coastal-lagoons-of-uruguay/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzed macrobenthic communities in five Uruguayan coastal lagoons across three spatial scales and four months in 2005. It found that community structure is primarily driven by spatial variation rather than short-term temporal changes, with the most significant differences occurring between the closed, eutrophic Diario lagoon and those intermittently connected to the ocean. Key environmental drivers include total suspended solids, conductivity, sediment organic matter, phytobenthic chlorophyll a, and macrophyte total biomass.","ai_generated":true,"unit":"iai-000013#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The macrobenthic community is characterized by high dominance and a low number of species. The most significant difference in community structure was found between the closed, eutrophic Diario lagoon and the other lagoons that maintain intermittent connections with the ocean.","ai_generated":true,"unit":"iai-000013#insight-1","date_modified":"2026-10-23"},{"text":"Spatial variation is a more significant driver of community structure than short-term temporal variability. The highest levels of variability were observed at the largest scale (between lagoons) and the smallest scale (between replicates), suggesting that both large- and small-scale processes influence spatial patterns.","ai_generated":true,"unit":"iai-000013#insight-2","date_modified":"2026-10-23"},{"text":"The macrobenthic community structure is best explained by five specific environmental variables: conductivity, total suspended solids, sediment organic matter, macrophyte total biomass, and phytobenthic chlorophyll a.","ai_generated":true,"unit":"iai-000013#insight-3","date_modified":"2026-10-23"}],"climate_tags":["biodiversity"],"geography_discussed":["Diario"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis","multivariate analysis"]},{"id":"iai-000057","url":"https://climateinsightsdirectory.org/document/iai-000057","title":"Spatial and temporal evolution of the static water level of the Cuauhtemoc aquifer during the years 1973-1991 and 2000: a geographical approach","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-16","source_url":"https://iai.int/es/pub_acad/spatial-and-temporal-evolution-of-the-static-water-level-of-the-cuauhtemoc-aquifer-during-the-years-1973-1991-and-2000-a-geographical-approach/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research presents a simplified approach to modeling aquifer behavior using basic geometry and trigonometry rather than complex differential equations. By analyzing static water levels at three specific dates, the authors were able to identify areas of the Cuauhtemoc aquifer characterized by increased extraction and areas experiencing considerable recharge.","ai_generated":true,"unit":"iai-000057#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors developed a modeling method for aquifers that relies on basic geometry and trigonometry and requires static level data from three different dates, serving as a first approximation of aquifer behavior over time.","ai_generated":true,"unit":"iai-000057#insight-1","date_modified":"2026-10-23"},{"text":"The application of this method to the Cuauhtemoc aquifer enabled the identification of specific zones where water extraction has increased and other zones that received significant recharge during the study period.","ai_generated":true,"unit":"iai-000057#insight-2","date_modified":"2026-10-23"}],"climate_tags":["groundwater recharge"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis"]},{"id":"iai-000120","url":"https://climateinsightsdirectory.org/document/iai-000120","title":"Efecto de la precipitación sobre la dinámica hidrológica de las lagunas de la cuenca inferior del río Colorado (periodo 1981-2011)","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-16","source_url":"https://iai.int/es/pub_acad/efecto-de-la-precipitacion-sobre-la-dinamica-hidrologica-de-las-lagunas-de-la-cuenca-inferior-del-rio-colorado-periodo-1981-2011/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study examined shallow lakes in the Colorado River Basin from 2002 to 2012, identifying a correlation between annual precipitation and the area covered by water. Using satellite imagery, the research categorized years as normal (2011), wet (2004), and dry (2008), finding that the number of detected shallow lakes ranged from 5 in dry years to 20 in wet years, with corresponding water areas between 5.8 km2 and 14.54 km2. Water bodies were further divided into three clusters based on size, salinity, and orientation.","ai_generated":true,"unit":"iai-000120#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a correlation between annual precipitation and the surface area covered by water in the study area, with the number and size of shallow lakes varying by year: 20 wet lakes covering 14.54 km2 in 2004, 15 normal lakes covering 13.05 km2 in 2011, and 5 dry lakes covering 5.8 km2 in 2008.","ai_generated":true,"unit":"iai-000120#insight-1","date_modified":"2026-10-23"},{"text":"Water bodies were categorized into three distinct groups via a clustering method: the first consisting of permanent bodies larger than 1.5 km2, the second consisting of salt shallow lakes with a North-South Total Maximum Length (TML) orientation, and the third consisting of lakes in the basin's wettest area with an East-West LMT orientation.","ai_generated":true,"unit":"iai-000120#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate variability","precipitation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["temporal analysis","correlation analysis","clustering"]},{"id":"iai-000044","url":"https://climateinsightsdirectory.org/document/iai-000044","title":"Aplicación de TIG para el estudio de la dinámica espacial de la laguna La Picasa y el dique Paso de las Piedras","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"es","date_published":"2025-01-15","source_url":"https://iai.int/es/pub_acad/aplicacion-de-tig-para-el-estudio-de-la-dinamica-espacial-de-la-laguna-la-picasa-y-el-dique-paso-de-las-piedras-conference-paper/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The study analyzed the impact of precipitation variability on the surface area of Paso de las Piedras and La Picasa from 1981 to 2012. It found that extreme precipitation events caused significant but differing increases in water area: 1.1 km2 for Paso de las Piedras in 2005 and 174.9 km2 for La Picasa in 2002. Additionally, the study noted that Reanalysis data did not show a linear relationship with in situ measurements.","ai_generated":true,"unit":"iai-000044#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme precipitation events led to different increases in the surface area of the two studied water bodies: Paso de las Piedras increased by 1.1 km2 in the very rainy year of 2005 compared to the normal year of 2002, while La Picasa increased by 174.9 km2 in the humid year of 2002 compared to the normal period of 2008.","ai_generated":true,"unit":"iai-000044#insight-1","date_modified":"2026-10-23"},{"text":"The correlation between different data sources revealed that Reanalysis data does not have a linear relationship with data recorded on the ground.","ai_generated":true,"unit":"iai-000044#insight-2","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Buenos Aires Province","Santa Fe Province"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis"]},{"id":"clipolin-000201","url":"https://climateinsightsdirectory.org/document/clipolin-000201","title":"Through DETER's Lens: The Relationship between Degradation and Deforestation in the Amazon","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2021-12-01","source_url":"https://www.climatepolicyinitiative.org/publication/through-deters-lens-the-relationship-between-degradation-and-deforestation-in-the-amazon/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that while the direct local conversion of degraded areas into deforested land is low (10% of total deforestation), there is a strong regional association: 30% of total deforestation occurs within one kilometer of previously degraded areas. This association is most frequent in medium or large private properties, rural settlements, and undesignated areas. The authors argue that degradation alerts can serve as a leading indicator for regional forest risk, suggesting that law enforcement should target both degraded areas and their immediate surroundings, particularly on private lands.","ai_generated":true,"unit":"clipolin-000201#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2017 and 2020, the Brazilian Amazon experienced an annual average of degradation of approximately 17,000 square kilometers, which is nearly double the average annual deforestation rate for the same period.","ai_generated":true,"unit":"clipolin-000201#insight-1","date_modified":"2026-10-23"},{"text":"Forest fire burned areas are the primary driver of degradation, accounting for over 70% of the total degraded area, followed by generic degradation (16%) and selective extraction (12%).","ai_generated":true,"unit":"clipolin-000201#insight-2","date_modified":"2026-10-23"},{"text":"Degradation is geographically concentrated in the states of Mato Grosso (40% of total) and Pará (33% of total), a distribution that differs from that of clear-cut deforestation.","ai_generated":true,"unit":"clipolin-000201#insight-3","date_modified":"2026-10-23"},{"text":"The direct local conversion rate from degradation to deforestation is low; only 10% of total deforestation measured by PRODES between 2017 and 2020 occurred in areas that were previously degraded.","ai_generated":true,"unit":"clipolin-000201#insight-4","date_modified":"2026-10-23"},{"text":"There is a significant regional association between the two phenomena: 20% of total deforestation occurred within 0.5 kilometers of degradation alerts, and 30% occurred within one kilometer.","ai_generated":true,"unit":"clipolin-000201#insight-5","date_modified":"2026-10-23"},{"text":"The association between degradation and subsequent deforestation is most frequent in undesignated areas, rural settlements, and medium or large private properties.","ai_generated":true,"unit":"clipolin-000201#insight-6","date_modified":"2026-10-23"},{"text":"Degradation is more heavily concentrated in medium or large private properties than clear-cut deforestation is, suggesting that policies like the Forest Code need greater effectiveness on private lands.","ai_generated":true,"unit":"clipolin-000201#insight-7","date_modified":"2026-10-23"}],"climate_tags":["forest degradation","deforestation","land tenure","biodiversity loss","carbon capture and storage","forest fire"],"geography_discussed":["Pará","Mato Grosso"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis","comparative analysis"]},{"id":"capeca-000096","url":"https://climateinsightsdirectory.org/document/capeca-000096","title":"Cycling in Vancouver: A portrait of bicycle ridership and safety in Vancouver 2010-2020","publisher":{"name":"Canadian Association of Physicians for the Environment","organization":"canadian-association-of-physicians-for-the-environment"},"document_type":"report","language":"en","date_published":"2021-11","source_url":"https://cape.ca/wp-content/uploads/2021/11/Analysis-Vancouver-CAPE-Nov-2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that bicycle ridership in Vancouver grew consistently between 2010 and 2020, driven by a 28% expansion of the protected cycling network. While total collisions decreased in 2019 and 2020, the highest collision risk occurs in late fall and early winter. A key finding is the distinction between high-frequency collision sites (often in the downtown core on existing facilities) and high-risk sites (often on arterials lacking protected infrastructure).","ai_generated":true,"unit":"capeca-000096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Bicycle ridership in Vancouver has seen consistent yearly growth over the last decade, with three downtown counting systems showing a 40% increase between 2011 and 2019. This growth is linked to the protected cycling network, which expanded by 28% between 2010 and 2020 to reach approximately 328 kilometers.","ai_generated":true,"unit":"capeca-000096#insight-1","date_modified":"2026-10-23"},{"text":"Winter cycling is increasing in popularity, with growth observed over the last five winters. By the 2020/2021 winter, cycling volume represented 29.6% of summer traffic on the Burrard Bridge, up from 20.8% five years prior.","ai_generated":true,"unit":"capeca-000096#insight-2","date_modified":"2026-10-23"},{"text":"The COVID-19 pandemic caused a shift in cycling patterns: overall activity grew by 6% in 2020, but commuting trips to the downtown core declined sharply. Conversely, recreational routes such as the False Creek Seawall and Point Grey saw growth between 30% and 60%.","ai_generated":true,"unit":"capeca-000096#insight-3","date_modified":"2026-10-23"},{"text":"Reported bicycle-vehicle collisions decreased by 15% in 2019 and 43% in 2020 compared to the previous four-year average. The report attributes these reductions to the expanded protected bike network and a significant drop in vehicle exposure during 2020.","ai_generated":true,"unit":"capeca-000096#insight-4","date_modified":"2026-10-23"},{"text":"Collision risk for cyclists is highest during the late fall and early winter, specifically from November to January, due to increased precipitation and reduced visibility. The risk in November is double that of July.","ai_generated":true,"unit":"capeca-000096#insight-5","date_modified":"2026-10-23"},{"text":"There is a divergence between intersections with the highest frequency of collisions and those with the highest relative risk. While many high-frequency sites are in downtown Vancouver on existing bike facilities, the highest-risk intersections are typically on arterials with high vehicle volumes and no protected cycling infrastructure.","ai_generated":true,"unit":"capeca-000096#insight-6","date_modified":"2026-10-23"}],"climate_tags":["urban transport","active mobility"],"geography_discussed":["Metro Vancouver Regional District","Canada"],"frame_perspective":[],"analysis_type":["temporal analysis","geospatial analysis","safety analysis"]},{"id":"napglob-000080","url":"https://climateinsightsdirectory.org/document/napglob-000080","title":"ESTADO DE LA REGIÓN","publisher":{"name":"NAP Global Network","organization":"nap-global-network"},"document_type":"report","language":"es","date_published":null,"source_url":"https://napglobalnetwork.org/wp-content/uploads/2023/06/ERCA-2021-Capitulo_6_Desastres.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report provides a spatial analysis of disaster incidence in Central America and the Dominican Republic between 1950 and 2020. It identifies that hydrometeorological events, specifically floods and landslides, are the most recurrent threats, often coinciding with high-density urban areas and coastal zones. The study highlights a significant increase in recorded disasters since 1990, peaking in 2010. It further correlates disaster risk with physical variables, noting that 70.7% of records occur below 1,000 meters above sea level and that a high percentage of critical territories are located in areas with medium to high population density. The analysis also observes a decline in forest cover and an increase in pasture land from 1990 to 2018, linking these land-use changes to increased disaster vulnerability.","ai_generated":true,"unit":"napglob-000080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Floods and landslides are the most frequent threats in Central America and the Dominican Republic, accounting for 86% of all disaster records between 1950 and 2020.","ai_generated":true,"unit":"napglob-000080#insight-1","date_modified":"2026-10-23"},{"text":"The annual number of recorded disasters rose sharply starting in the 1990s compared to the 1950-1990 period, reaching a peak of 2,544 records in 2010.","ai_generated":true,"unit":"napglob-000080#insight-2","date_modified":"2026-10-23"},{"text":"A majority of disaster records (70.7%) are located at altitudes below 1,000 meters above sea level, which is partly attributed to high population concentrations at these elevations.","ai_generated":true,"unit":"napglob-000080#insight-3","date_modified":"2026-10-23"},{"text":"There is a strong correlation between the timing of precipitation extremes and disaster occurrence, with 54% of droughts, floods, and landslides occurring during the most common drought months (March and April) and surplus precipitation months (October and November).","ai_generated":true,"unit":"napglob-000080#insight-4","date_modified":"2026-10-23"},{"text":"Most critical territories for disaster incidence overlap with areas of medium or high population density (76 or more inhabitants per km2), particularly in capital cities and major urban centers.","ai_generated":true,"unit":"napglob-000080#insight-5","date_modified":"2026-10-23"},{"text":"Between 1990 and 2018, there was a significant decrease in forest cover (a 23.3% reduction) and a corresponding increase in pasture land, which grew from 30% to 50% of the territory.","ai_generated":true,"unit":"napglob-000080#insight-6","date_modified":"2026-10-23"},{"text":"The study identified specific 'multi-hazard' territories where high concentrations of floods, landslides, and droughts coincide, including the canton of Osa in Costa Rica, the municipality of San Pedro Sula in Honduras, and the Distrito Central in the Dominican Republic.","ai_generated":true,"unit":"napglob-000080#insight-7","date_modified":"2026-10-23"}],"climate_tags":["flood","landslide","drought","climate variability","land-use change","deforestation","urbanization","climate change adaptation","disaster risk reduction"],"geography_discussed":["Costa Rica","Guatemala","Honduras","El Salvador","Nicaragua","Panama","Belize","San Pedro Sula","Osa"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis","correlation analysis"]},{"id":"prio-001323","url":"https://climateinsightsdirectory.org/document/prio-001323","title":"Diffusion Patterns of Violence in Civil Wars","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/001c5f30-1d0c-4456-867a-52998eb64602/Diffusion Patterns of Violence in Civil Wars.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The authors analyze how violence spreads in space and time during civil wars, distinguishing between relocation diffusion (shifting violence) and escalation diffusion (expanding violence). Using a modified joint count statistic and Monte Carlo simulations on ACLED event data from Bosnia, Kosovo, Burundi, and Rwanda, the study finds that violence typically expands in scope, supporting the theory that irregular warfare lacks demarcated front lines.","ai_generated":true,"unit":"prio-001323#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors distinguish between two primary types of conflict diffusion: relocation diffusion, which is a \"shift in the location of violence\" typical of conventional maneuver warfare with clear front lines, and escalation diffusion, which refers to the \"spatial expansion of the conflict site\" typical of mobile guerrilla war.","ai_generated":true,"unit":"prio-001323#insight-1","date_modified":"2026-10-23"},{"text":"The study argues that civil wars should primarily exhibit escalation diffusion because insurgents often establish small bases and expand them, and combatants frequently engage in violence within their own zones of control to extract resources or due to the fragmentation of opposing forces.","ai_generated":true,"unit":"prio-001323#insight-2","date_modified":"2026-10-23"},{"text":"To detect these patterns, the researchers developed a spatial-temporal joint count statistic that observes pairs of neighboring spatial cells over two subsequent time steps, testing observed transitions against a null model created via Monte Carlo simulation.","ai_generated":true,"unit":"prio-001323#insight-3","date_modified":"2026-10-23"},{"text":"Analysis of the Bosnian War (April 1992 to October 1995) revealed a predominance of escalation diffusion, which the authors attribute to the use of irregular units and militias pursuing ethno-territorial goals rather than following clear front lines.","ai_generated":true,"unit":"prio-001323#insight-4","date_modified":"2026-10-23"},{"text":"In the Kosovo conflict (March 1998 to October 1999), the results showed a time-invariant pattern of escalation diffusion occurring at small spatial scales (3 km to 7 km), consistent with the KLA's use of guerrilla tactics.","ai_generated":true,"unit":"prio-001323#insight-5","date_modified":"2026-10-23"},{"text":"The civil war in Burundi (November 1993 to end of 2003) exhibited both escalation and relocation diffusion; the presence of relocation dynamics is attributed to mobile warfare and movements across the border into the Democratic Republic of the Congo.","ai_generated":true,"unit":"prio-001323#insight-6","date_modified":"2026-10-23"},{"text":"Analysis of the Rwandan civil war after 1994 showed a significant number of escalation diffusion instances at spatial scales between 3 km and 8 km, with an almost complete absence of relocation diffusion.","ai_generated":true,"unit":"prio-001323#insight-7","date_modified":"2026-10-23"},{"text":"The overall results across the four cases support the conclusion that violence in civil wars tends to expand in scope once it has occurred at a particular location, fitting a model of irregular warfare without demarcated areas of control.","ai_generated":true,"unit":"prio-001323#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Democratic Republic of the Congo","Albania"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal analysis","statistical modeling","Monte Carlo simulation"]}]}