query for census block points that intersect the smaller box var query = L.esri. Use Turf and Esri Leaflet together body Control.Layers Turf.js Mashup Getting Service Metadata Parsing Feature CollectionsĬensus block points that intersect both bounding boxes are red. The MaxDiff Analyzer tool makes TURF analysis easy.Quickstart Basemaps Showing an ArcGIS Basemap Basemap with Labels Composing Basemaps Switching Basemaps Raster Basemaps (Classic) Feature Layers Simple FeatureLayer Styling Points Styling Lines Styling Polygons Custom Popups Querying Features #1 Querying Features #2 Spatial Queries Simplifying Complex Features Zoom to all Features #1 Zoom to all Features #2 Labeling Features Ordering Layers Editing #1 Editing #2 Dynamic Chart (Cedar) Dynamic Chart (Chart.js) Feature Layer Plugins Points as a Heatmap Styling a Heatmap Time Enabled Services Clustering Points Styling Clusters Tile Layers Tiles from a Map Service #1 Tiles from a Map Service #2 Dynamic Map Layer Simple Dynamic Map Layer Identifying Features Custom Popups Time Ranges Image Map Layer Simple Image Map Layer Rendering Rule Identify Imagery Mosaic Rule Custom Popups Time Ranges Non-Mercator Projections Tiles + Feature Layer Tiles + Dynamic Map Layer Query Layer "Snapshot" Query without a Map Authentication ArcGIS Online OAuth Premium ArcGIS Online Content ArcGIS Server username/password Geocoding Geocoding Control Searching Map Services Searching Feature Layers Geocoding Control - searchMode Center the Initial Map State Reverse Geocoding Other Plugins Server Side Rendering Stream Layer Loading Webmaps Geoprocessing Misc. For example, TURF can help determine the optimal set of 5 flavors to offer to appeal to the largest number of customers. TURF (Total Unduplicated Reach and Frequency) is a portfolio optimization approach that is often applied to MaxDiff data. We also offer a built-in Latent Class capability for discovering segments of respondents with similar needs/preferences. The default settings are robust, so users with very little background in statistics can obtain good results. The HB tool is built right into the point-and-click interface. We typically estimate item scores for each individual using a hierarchical Bayes (HB) methodology. MaxDiff exercises focus on estimating preference or importance scores for typically about 15 to 40 items-though hundreds of items could be accommodated in advanced applications. The combinations of items are designed very carefully with the goal that each item is shown an equal number of times and pairs of items are shown an equal number of times. Surveys can be fielding online using your own web server, locally on a. Includes complex skip logic, quota control, and list building.
#Using turf analysis xlstat full#
Respondents typically complete eight to fifteen such MaxDiff questions. Lighthouse Studio features general-interviewing capabilities as well as full integration (design and analysis) for conjoint analysis, discrete choice, and MaxDiff exercises. For each question, we ask respondents to indicate the best and worst items (or most and least important, etc.) List items are shown to respondents in a MaxDiff Rather than show the respondent all items at once, we show a subset (typically 4 or 5) of the possible items in each of multiple MaxDiff questions. We start with a list of items (brands, features, claims, etc.). The resulting item scores are also easy to interpret, as they are placed on a 0 to 100 point common scale and sum to 100. MaxDiff makes it easy for researchers with only minimal exposure to statistics to conduct sophisticated research for the scaling of multiple items.