Distance Sampling Software For Mac
Why SPARKvue?
A listing of pointers to different software applications used for. None have been ported to the Mac (that I know of), so don't bother. It is a computer system for creating and maintaining files of mark-recapture data from animal sampling. Program Distance was written to analyze distance sampling data as. Jul 29, 2009 Distance software: design and analysis of distance sampling surveys for estimating population size Len Thomas,., 1 Stephen T Buckland, 2 Eric A Rexstad, 1 Jeff L Laake, 3 Samantha Strindberg, 4 Sharon L Hedley, 2 Jon RB Bishop, 1 Tiago A Marques, 1 and Kenneth P Burnham 5.
SPARKvue makes data collection, analysis, and sharing quick and easy on every platform. Compatible with all of PASCO’s wireless and PASPORT sensors, students can quickly set up their lab, or use a built-in Quick Start Lab and begin collecting data immediately. SPARKvue is for all sciences and grade levels. However, if you’re an advanced user looking for more capabilities such as video analysis, advanced statistics and calculations, and greater customization of data displays on a PC or Mac®, then check out our PASCO Capstone™ software.
Since SPARKvue was first released, it has been winning awards, and we never stop improving it. With the latest major release of SPARKvue 4, we’ve continued to add features without adding complexity. A new Welcome Screen makes it easy to get started and discover SPARKvue’s capabilities. Whether you want to add data manually, use sensors for real-time or remote logging, or open one of the hundreds of existing labs, this is your starting place.
Data Collection
Using a USB or an interface, with SPARKvue you can just plug-and-play with nearly one-hundred sensors via Bluetooth®, which pairs wireless sensors through a simple in-app list (no system settings are required). PASCO understands that classrooms and labs can be hectic, so SPARKvue allows you to simply select a sensor from the sorted list (the closest sensors are first) and match a 6-digit laser-etched ID number to get connected. This method works even when there are dozens of Bluetooth sensors in the same lab.
Once you’ve selected a sensor, choose from a template or Quick Start Experiment, or you can build a page to meet your needs. SPARKvue is designed for inquiry, and students are not constrained to a few pre-selected layouts… the software can support expanding capabilities with ease.
Collecting and visualizing data is easy with an array of displays, and the tools you need for analysis are right at your fingertips. Students can annotate data, apply curve fits, compare runs, create calculations, and much more! In-context tools make it simple to find what you’re looking for, which means that students spend their time learning the science, not the software.
Whether you’re teaching K–8, high school, or college students, SPARKvue has the displays and tools you need to collect and analyze data. The basics you’d expect (such as digits, meter, graph, and table) are all included, but you will also find FFT, bar graphs, map display, embedded assessment questions, video playback, image capture and analysis, as well as space for text and images. The labs you can build are only limited by your time and creativity.
Data Sharing and Export
When it’s time for students to submit their work, SPARKvue supports a variety of formats, and its export tools make it easy for educators. Students can easily snapshot their work in SPARKvue and submit an image, export the data to a .csv file to work in a spreadsheet, or save it in our .spklab format, when they can come back and do more work in the future. SPARKvue also supports many other apps for saving or sharing data, including Google Drive on Chromebooks™.
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If students are collaborating on a lab activity across devices, they can set up a shared session and stream results in real-time. Then, when the session is over, each student will have a copy of the data to analyze independently. These sessions can be set up in seconds within a student group, or the entire class can share the data from a teacher demonstration.
Spatial analysis software is software written to enable and facilitate spatial analysis. Currently, there are several packages, both free software and proprietary software, which cover most of the spatial data infrastructure stack.
Packages[edit]
| Package | Free of charge | Operating Systems | Developer institution/person | Website | Field of interest (if any specific) | Main Features | Language | License |
|---|---|---|---|---|---|---|---|---|
| Fract | No | Linux, Windows, Unix, iOS, Android, Windows Phone, Cloud | Fract, Inc. | www.fract.com | Geospatial AI Analytics for Business Intelligence | Ease of use, AI feedback, Territory Mapping | Proprietary | |
| Mapcite | Yes for Excel addin | Linux, Windows, Unix, iOS, Android, Windows Phone | Mapcite Ltd - London and Sydney | www.mapcite.com | Geospatial data analytics, location data sets, geocoding | Ease of aggregation and harmonisation of disparate data sets to expose insights and create new data. | Proprietary | |
| 360FranTerra 20/20iSite MarketMentor | No | GbBIS | GbBIS | Custom web applications used for a range of spatial analysis including franchise territory design and management, location analysis and site selection, market analysis and more. | ||||
| LuciadLightspeed | No | Linux, Windows, Unix, iOS, Android, Windows Phone | Luciad | Luciad | LuciadLightspeed is widely recognized as the leading set of high-performance geospatial software components. | LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections. Geo-fencing, line-of-sight calculations, geo-triggered events, dynamic and complex route calculations and automated anomaly detection are just a mouse click away. Independent benchmark tests by academia and industry leave no doubt: LuciadLightspeed is over 100 times faster and more accurate than traditional GIS software. | Web API, Java-J2EE, .NET, JavaScript, HTML5 | Proprietary. |
| ArcGIS | No | Linux, Windows, Unix, iOS, Android, Windows Phone | Esri | Esri | A GIS system to create, visualize, manage, and analyze spatial data. Supports desktop, web, and mobile applications. | In addition to spatial data editing and visualization, ArcGIS provides spatial analysis and modeling features including overlay, surface, proximity, suitability, and network analysis, as well as interpolation analysis and other geostatistical modeling techniques. | Python, Web API, .NET | Proprietary. Analytical extensions can be purchased separately. |
| ClusterPy (non-GUI, open source) GeoGrouper (GUI, free) | yes | Linux, MAC OS, Windows | RiSE group (@gmail:rise.group.eafit), Dr. Juan C. Duque and Boris Dev | ClusterPy Geogrouper | Spatial clustering | Library of algorithms to aggregate areas into regions, where each region is geographically connected, while optimizing a predefined objective function. | Python | BSD license |
| R-Analysis of Spatial Data | yes | Linux, MAC OS, Windows | Roger Bivand (maintainer) | CRAN site for Analysis of Spatial Data, R-Forge site | Analysis | Full integration of spatial data analysis tools with the R: classes for spatial data; handling spatial data; reading and writing spatial data; point pattern analysis; geostatistics; disease mapping and areal data analysis; spatial regression and ecological analysis. | R | GPL-2 |
| Google Earth | yes | Linux, MAC OS, Windows | Google Earth | 3D visualisation | Easy to use, dynamic graphics, historical maps, users can create dynamic 'tours,' integrated with the Web. | - | Freeware | |
| PySAL | yes | Linux, MAC OS, Windows | GeoDa Center | pysal.org | Analysis | Modules for: computational geometry, spatial weights, ESDA, inequality, mobility and spatial econometrics | Python | BSD license |
| Minerva | yes | Linux, MAC OS, Windows | Fulton High Performance Computing Initiative (Arizona State University) | Minerva Project | Visualization (3D) | High performance; ability to display large amounts of raster and vector from multiple sources | C++ | BSD license |
| GMap Creator | yes | Linux, MAC OS, Windows | CASA | CASA website for GMap Creator | Web Mapping | Thematic mapping. Creates image pictures from shapefiles and creates Google Maps websites with the data linked to the shapefile | - | Freeware |
| DynTM | yes | Linux, MAC OS, Windows | GeoDa Center for Geospatial analysis and Computation (Charles Schmidt) | GeoDa Center's software site | Web mapping | Python | Under development | |
| QGIS | yes | Linux, MAC OS, Windows | QGIS Development Team | qgis.org | Visualization | Easy to use, ability to expand functionality with Python plugins. Geoprocessing functions included. | C++ | GPL |
| GRASS | yes | Linux, MAC OS, Windows | GRASS Development Team | http://grass.osgeo.org | GIS | Extensive set of GIS tools for both raster and vector data, SQL, visualization, voxel | C, C++, Python, Tcl | GPL |
| Legacy GeoDa | yes | Windows | GeoDa Center | website | Analysis | Geovisualization, ESDA, Spatial Regression. Interactive exploratory analysis, dynamic linking and brushing for cross-section data, basic spatial regression capabilities | C | Freeware |
| Open GeoDa | yes | Linux, MAC OS, Windows | GeoDa Center | Analysis | Interactive exploratory analysis, dynamic linking and brushing for cross-section data, basic spatial regression capabilities. Cross-platform version of Legacy GeoDa | C++ | GPL | |
| STARS | yes | Linux, MAC OS, Windows | GeoDa Center | Website at REGAL | Analysis | ESTDA (Exploratory Space-Time Data Analysis). Interactive linking, brushing and travelling for space-time data | Python | GPL |
| GeoDaSpace | yes | MAC OS, Windows | GeoDa Center for Geospatial analysis and Computation | Download | Spatial Econometrics | Advanced spatial models for cross section (GMM, IV and spatial HAC) | Python | Freeware |
| GeoDaNet | yes | MAC OS, Windows | GeoDa Center for Geospatial analysis and Computation (Andrew Winslow) | Download | Point patterns in networks | Network distances, basic network statistics, global and local K-functions in networks. | Python | Under development |
| SANET | yes | Windows | Atsu Okabe | Website | Point patterns in networks | Analysis of events that occur on networks or alongside networks. Includes 14 tools for point patterns in networks (list[permanent dead link]) | - | Freeware (terms[permanent dead link]) |
| CrimeStat | yes | Windows | Ned Levine and Associates | Website | Spatial analysis of points, zones, and lines | Basic spatial description, hot spot analysis, kernel density interpolation, space-time interaction, journey-to-crime analysis (Geographic profiling), crime travel demand modeling, and spatial regression. | - | Freeware |
| SaTScan | yes | Windows, Linux, MAC OS | Martin Kulldorff and Information Management Services Inc. | satscan.org | Applications by Field of Study | Spatial, temporal and Space-Time Scan Statistics | C/C++, Java | Freeware |
| Croizat | yes | Linux, MAC OS, Windows | Mauro J. Cavalcanti | Website at SourceForge | Panbiogeography | Ability to integrate and analyzie spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic andgraph-theoretic approach | Python | GPL |
| Hawths Tools | yes (Requires ArcGIS, which is not free) | Windows | Hawthorne Beyer | Website | Ecology | Analysis, sampling, animal movements, kernel, raster, table, vector editing, specialist and other tools. | Freeware | |
| Fragstats | yes | Windows | Dr. Kevin McGarigal - University of Massachusetts | Website | Landscape metrics for categorical map patterns | Area, density, edge metrics. Shape metrics (Fractal dimension index) and much more. | Visual C++ | Freeware |
| Patch Analyst | yes | Windows | Rob Rempel - Centre for Northern Forest Ecosystems Research | Website | Patch metrics for categorical map patterns | Mean patch size, Number of patches, Indices of patchiness, edge metrics, and much more. | Visual C++ | Freeware |
| SAGA | yes | Windows, Linux | Institute of Geography at the University of Hamburg, Germany | Website | GIS, Analysis | Grid analysis, Geostatistics, Terrain Analysis, Hydrology simulation, TIN tools. | C++ | OpenSource |
| Whitebox GAT | yes | Linux, MAC OS, Windows | John Lindsay - Centre for Hydrogeomatics, University of Guelph, Canada | Website | GIS and remote sensing package | GIS analysis, hydrological tools, image processing tools, LiDAR tools, statistical analysis, stream network analysis, terrain analysis | .NET framework 3.5 | GPL |
| ILWIS Open | yes | Windows | ITC - Netherlands | Website | Remote sensing and GIS software which integrates image, vector and thematic data. | Integrated raster and vector design; import and export of widely used data formats; on-screen and tablet digitizing; image processing tools; orthophoto, image georeferencing, transformation and mosaicing; Advanced modeling and spatial data analysis; 3D visualization; projection and coordinate system library; geo-statistical analyses; production and visualization of stereo image pairs; spatial Multiple Criteria Evaluation; WMS; Surface Energy Balances. | - | GPL |
| Map Comparison Kit (MCK) | yes | Windows | Research Institute for Knowledge Systems | MCK Website | Map comparisons for categorical and numerical maps. | A large number of map comparison algorithms for categorical and numerical maps, including Kappa, variations to Kappa, and landscape metrics. | C++ | Freeware |
| IDRISI | No | Windows | Clark Labs/Clark University | Clark Labs | GIS, Image Processing, Spatial Modeling | A GIS analysis package for basic and advanced spatial analysis, an Image Processing system with extensive hard and soft classifers including machine learning classifiers, integrated modeling environments including the Earth Trends Modeler for image time series of environmental trends and Land Change Modeler for land change analysis and prediction. | Delphi | Proprietary |
| Biodiverse | Yes | Linux, Windows, Unix, OSX | Shawn Laffan | Biodiverse | Biogeography, Biodiversity, Environmental | Biodiverse is a tool for the spatial analysis of diversity using indices based on taxonomic, phylogenetic and matrix-based (e.g. genetic distance) relationships, as well as related environmental variations. Biodiverse supports: linked visualisation of data in geographic, taxonomic, phylogenetic and matrix spaces; Spatial moving window analyses; Spatially constrained agglomerative cluster and region grower analyses; and Randomisations for hypothesis testing. | Perl | LGPL |
| ERDAS IMAGINE | No | Windows | Intergraph | ERDAS IMAGINGE | Remote Sensing, Image Processing, Spatial Modeling, GIS | ERDAS IMAGINE incorporates geospatial image processing and analysis, remote sensing, and GIS capabilities into a single powerful, convenient package. ERDAS IMAGINE enables users to easily create value-added products such as 2D and 3D images, 3D flythrough movies, and cartographic-quality map compositions from geospatial data. | C, C++ | Proprietary |
| TerraLens | No | Linux, Windows, Unix, MacOS, Android, Windows Phone | Kongsberg Geospatial | Kongsberg Geospatial | TerraLens is a real-time computing geospatial software platform optimized for mission-critical applications and performance on low-end hardware and chipsets. | TerraLens is a geospatial platform that includes a comprehensive core API, as well as additional tools like a Web Map Tile Service (WMTS) tile server, a map styling and packaging tool, and a UI development middleware toolkit. TerraLens is designed to easily fuse and integrate a wide range of real-time data sources, including SONAR, RADAR, and LIDAR data, full-motion video, and proprietary or open-source data that includes geolocation elements with terrain elevation and satellite imagery in a wide range of formats and map projections. TerraLens is used extensively for real-time applications including naval and air defense, beyond visual line-of-sight (BVLOS) mission management for unmanned systems, and air traffic management. | C++, Java-J2EE, .NET, QT (software), Web GL | Proprietary |
| GIS Spatial Analytics & Analysis | No | Web-based | Marketing Systems Group | GIS Spatial Analytics & Analysis | Spatial analysis and data visualization for an array of business and government sectors | Leverage the power of geographic and demographic data using MSG’s full suite of GIS services: reports and maps, geocoding, spatial analytics, geographic frame design and much more. From simple maps and reports to multifaceted data, spatial projects, and custom consulting, MSG’s GIS group has you covered. | - | Proprietary |
See also[edit]
References[edit]
- ^'GeoDa Center's new home, and GIScience at ASU School of Geographical Sciences & Urban Planning'. sgsup.asu.edu.
Sources[edit]
- Rey, S. J. Show me the code: Spatial Analysis and Open Source
External links[edit]
Further resources may be found in the following links: