The Mapsearch extension enhances CKAN's spatial search capabilities by introducing scale-awareness. This extension, designed to work alongside ckanext-spatial, allows users to view the number of results at different zoom levels on a map, making it easier to find relevant geospatial datasets. The core functionality relies on pre-indexing data with an additional area field, enabling scale-dependent search result aggregation. Key Features: Scale-Aware Search: Displays the number of datasets at five different scales for a given area of interest, providing a more granular search experience. Map-Centered Interface: Integrates directly with the CKAN spatial extension to offer a map-based search interface. Solr Integration: Leverages Solr's spatial capabilities, requiring Solr 3.1 or higher, and uses an extra field in the Solr index for storing area information. Configurable Map Extent: Allows administrators to set the initial map extent for the search interface. Test Suite: Includes basic Selenium WebDriver tests to facilitate quality assurance and extension verification. Technical Integration: The Mapsearch extension integrates with CKAN by adding a plugin that depends on ckanext-spatial. Installation order in the CKAN .ini configuration file is critical, requiring mapsearch to be listed after spatial_query in the plugins setting. It also needs an extra field in the Solr schema.xml configured for proper indexing. Benefits & Impact: By offering scale-aware search, the Mapsearch extension improves geospatial data discovery within CKAN. Users can quickly assess data availability at different zoom levels, allowing them to refine their searches and identify relevant datasets more easily. This extension contributes to more efficient and effective utilization of spatial data resources within a CKAN-powered data portal.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The mapsearch-bku03232018 extension enhances CKAN by adding a web map interface to facilitate geographical queries. This allows users to search for datasets based on location, providing a visual and intuitive way to discover geographically relevant data within a CKAN instance. Aimed at CKAN v2.3, the extension integrates directly with the CKAN platform, offering geospatial search capabilities via a map-based interface. Key Features: Web Map Interface: Provides an interactive web map for specifying geographical search areas, making geospatial data discovery more user-friendly. Geographical Queries: Allows users to perform searches for datasets based on their geographical location, enabling targeted data retrieval. Configurable Test Environment: Includes configurable test files (test.ini and tests_config.cfg) to ensure proper functioning within specific CKAN environments. The settings include configurations for the CKAN host, Web Map Service URL, map search path, and CKAN API path. Technical Integration: The extension integrates into CKAN by providing a web map interface and processing geographical search queries. The tests_config.cfg file indicates that URL paths for the web map service and the CKAN API can be customized, suggesting the extension uses CKAN's API to perform search queries and relies on an external Web Map Service for rendering the map. Configuration files are required to set the CKAN host, WMS URL, MapSearch path and CKAN API path so the extension can use the CKAN API. Benefits & Impact: The mapsearch-bku03232018 extension improves the usability of CKAN for users interested in geographically referenced data by facilitating location-based searching. This enhancement should make the discovery of relevant datasets more efficient.
This dataset contains polygons that represent the geographic extent of Maine Geological Survey (MGS) publications. The data is maintained in the MGS Publications database and updated as new maps, reports, bulletins, etc. are published.
https://data.gov.tw/licensehttps://data.gov.tw/license
Taichung City's 110 March spatial map system queries statistics for each administrative district.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇳🇱 네덜란드 English The Nature Management Plan includes a map with Agrarisch Search Area. The difference map shows the differences between the last set version and the previous version of Search Area Agricultural.
This layer is sourced from hazards.fema.gov.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset concerns the Agricultural Nature Management Search Area (net boundary). The limitation is part of the ‘Consolidated map of the Agricultural Nature Management Search Area’ annexed to the Nature Management Plan 2024. This plan was adopted by the Provincial Executive (GS) on 12 September 2023. This HS decision only concerns the changes compared to the Nature Management Plan 2023 (adopted on 12 April 2022). The changes to the limit can be found on the map ‘Changes to the Search Area for Agricultural Nature Management 2024’. The (net) boundary of the Agricultural Search Area stems from the gross boundary that has been compiled as a base plate on the basis of various policy criteria. In order to prevent the accumulation of management subsidies, the gross limit has been made net. This was done by removing nature areas and areas where a task within the framework of the Netherlands Nature Network (NNN) is located from the boundary. For the latter category, the exception applies to ongoing agricultural nature management contracts and specifically designated areas. The net limit is also included in the national Information Model Nature (IMNa) as the layer ‘Agricultural search area’. The Agricultural Nature Management Search Area is a policy limit where the Province sees opportunities for agricultural nature and landscape management. Within these areas, the Province makes subsidy available through the SNL scheme. In Overijssel, there are currently 3 certified agricultural nature management collectives that can claim this subsidy. In Overijssel, the following search areas have been distinguished: open grassland (subdivided into two types of management), open field and approach.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Morphological convergence can be assessed through a variety of statistical methods. None of the methods proposed to date enable the visualization of convergence. All are based on the assumption that the phenotypes either converge, or do not. However, between species, morphologically similar regions of a larger structure may behave differently. Previous approaches do not identify these regions within the larger structures or quantify the degree to which they may contribute to overall convergence. Here we introduce a new method to chart patterns of convergence on three-dimensional models, deployed with the R function conv.map. The convergence between pairs of models is mapped onto them to visualize and quantify the morphological convergence. We applied conv.map to a well-known case study, the saber-tooth morphotype which has evolved independently among distinct mammalian clades, from placentals to metatherians. Although previous authors have concluded that saber-tooths kill using a stabbing 'bite' to the neck, others have presented different interpretations for specific taxa, including the iconic Smilodon and Thylacosmilus. Our objective was to identify any shared morphological features among the saber-tooths that may underpin similar killing behaviours. From a sample of 49 placental and metatherian carnivores, we found stronger convergence among saber-tooths than for any other taxa. We found that the morphological convergence is most apparent in the rostral and posterior parts of the cranium. The extent of this convergence implies similarity in function among these phylogenetically distant species. In our view this function is most likely the killing of relatively large prey by a stabbing bite.
This dataset contains polygons that represent the geographic extent of Maine Geological Survey (MGS) publications. The data is maintained in the MGS Publications database and updated as new maps, reports, bulletins, etc. are published.
This layer is sourced from hazards.fema.gov.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Church Point, 2105 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A total of 7 RIS files.
Three RIS files from three web searches (Scholar, SCOPUS, and Web of Science) conducted for the review "The drivers of anguillid eel movement in lentic water bodies: a systematic map" currently submitted for publication at Reviews ins Fish Biology and Fisheries.
RIS file of the combined search data conducted in Zotero
RIS of the results from backward citation chasing.
RIS file of the results from forward citation chasing.
RIS file of the combined results from onward and backward citation chasing.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains annual sales trends history for Church Point, 2105 covering median prices, sales volumes, resales capital growth and more. Based on sales data from the NSW Valuer General analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains annual sales trends history for Morisset, 2264 covering median prices, sales volumes, resales capital growth and more. Based on sales data from the NSW Valuer General analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Minmi, 2287 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Burroway, 2821 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Morisset, 2264 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Cargo, 2800 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains annual sales trends history for Wayo, 2580 covering median prices, sales volumes, resales capital growth and more. Based on sales data from the NSW Valuer General analysed by AreaSearch.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains the latest 100 sales for Moorebank, 2170 from the NSW Valuer General. The data has been goecoded and analysed by AreaSearch.
The Mapsearch extension enhances CKAN's spatial search capabilities by introducing scale-awareness. This extension, designed to work alongside ckanext-spatial, allows users to view the number of results at different zoom levels on a map, making it easier to find relevant geospatial datasets. The core functionality relies on pre-indexing data with an additional area field, enabling scale-dependent search result aggregation. Key Features: Scale-Aware Search: Displays the number of datasets at five different scales for a given area of interest, providing a more granular search experience. Map-Centered Interface: Integrates directly with the CKAN spatial extension to offer a map-based search interface. Solr Integration: Leverages Solr's spatial capabilities, requiring Solr 3.1 or higher, and uses an extra field in the Solr index for storing area information. Configurable Map Extent: Allows administrators to set the initial map extent for the search interface. Test Suite: Includes basic Selenium WebDriver tests to facilitate quality assurance and extension verification. Technical Integration: The Mapsearch extension integrates with CKAN by adding a plugin that depends on ckanext-spatial. Installation order in the CKAN .ini configuration file is critical, requiring mapsearch to be listed after spatial_query in the plugins setting. It also needs an extra field in the Solr schema.xml configured for proper indexing. Benefits & Impact: By offering scale-aware search, the Mapsearch extension improves geospatial data discovery within CKAN. Users can quickly assess data availability at different zoom levels, allowing them to refine their searches and identify relevant datasets more easily. This extension contributes to more efficient and effective utilization of spatial data resources within a CKAN-powered data portal.