Relevant bibliographies by topics / Raster-based

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Raster-based'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Raster-based"

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Schmidtlein, Sebastian. "Raster-based detection of vegetation patterns at landscape scale levels." Phytocoenologia 33, no. 4 (November 19, 2003): 603–21. http://dx.doi.org/10.1127/0340-269x/2003/0033-0603.

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Wasim, Muhammad. "A Comparative Study of Curvature-Based and Differential Versions of Dotter Raster-stereography Techniques." KIET Journal of Computing and Information Sciences 1, no. 1 (April 14, 2021): 01–12. http://dx.doi.org/10.51153/kjcis.v4i1.37.

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Conventional Line-based Raster-stereography has been a popular technique for 3-D surface topography. However, in its application for human face screening, the problem of line breaking was observed. In order to resolve this problem, there came up a new technique called dotted raster-stereography. The previously reported version of dotted raster-stereography extracted the curvature features of human face. This paper presents a modified version, viz. differential dotted raster-stereography in which instead of curvature, differences in straight line distances between adjacent points are calculated. A comparative picture of the two versions of dotted raster-stereography techniques is presented. Results suggest that this new differential version of dotted raster-stereography algorithm is faster in execution due to its simpler implementation in software, though lower in accuracy, as compared with the previously reported curvature-based version of dotted raster stereography.
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Zhou, G., Q. Pan, T. Yue, Q. Wang, H. Sha, S. Huang, and X. Liu. "VECTOR AND RASTER DATA STORAGE BASED ON MORTON CODE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2523–26. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2523-2018.

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Even though geomatique is so developed nowadays, the integration of spatial data in vector and raster formats is still a very tricky problem in geographic information system environment. And there is still not a proper way to solve the problem. This article proposes a method to interpret vector data and raster data. In this paper, we saved the image data and building vector data of Guilin University of Technology to Oracle database. Then we use ADO interface to connect database to Visual C++ and convert row and column numbers of raster data and X Y of vector data to Morton code in Visual C++ environment. This method stores vector and raster data to Oracle Database and uses Morton code instead of row and column and X Y to mark the position information of vector and raster data. Using Morton code to mark geographic information enables storage of data make full use of storage space, simultaneous analysis of vector and raster data more efficient and visualization of vector and raster more intuitive. This method is very helpful for some situations that need to analyse or display vector data and raster data at the same time.
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Maule, Marilena, João L. D. Comba, Rafael P. Torchelsen, and Rui Bastos. "A survey of raster-based transparency techniques." Computers & Graphics 35, no. 6 (December 2011): 1023–34. http://dx.doi.org/10.1016/j.cag.2011.07.006.

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Zhu, Yi Feng, Xu Yang, Lei Shi, and Yan Fu Li. "Study of Grating Signal Processing Based on FPGA." Advanced Materials Research 490-495 (March 2012): 1807–10. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1807.

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With the development of modern measurement and control technology,the grating sensor is widely used in the measurement of displacement and angle in precise meterage domain. Limited by the grating scratching technology,the way to improve the measurement precision of grating sensor is using electronic technique to subdivision the grating signal. This paper mainly research on raster displacement detection system based on FPGA. As the usual raster sensor data collection system has many problem,A new raster sensor data collection system was found based on FPGA &USB. In this system,FPGA was used as main controller , and the USB was used for data transmission. A whole system hardware circuit design was given in this paper, including the FPGA processing of the raster sensor signal, and the USB circuit design
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Walter, V. "INTEGRATION OF MULTIPLE COLLECTED POLYGONS WITH A RASTER-BASED APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 679–85. http://dx.doi.org/10.5194/isprs-archives-xlii-4-679-2018.

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<p><strong>Abstract.</strong> In this paper, we present an approach for the integration of multiple collected (vector-)polygons that is computed in the raster domain. In a first step, all polygons are transferred to the raster domain with a vector/raster-conversion. The integration in the raster domain is a simple pixel-wise summation that is much simpler than comparable approaches in the vector domain. The results can be optimized with image processing operators. Finally, the integrated data are transferred back into the vector domain with a raster/vector-conversion. This approach can integrate not only 2 datasets but is also able to integrate <i>n</i> datasets without any modification. We will demonstrate this approach on data that was multiple collected in a student project and we will discuss how the integration results can be evaluated with quality measures.</p>
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Ren, Lijing. "A Novel Raster Map Exchange Scheme Based on Visual Cryptography." Advances in Multimedia 2021 (July 29, 2021): 1–7. http://dx.doi.org/10.1155/2021/3287774.

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Raster map is an image that has been discretized in space and brightness, and it is an important carrier of geospatial data. With the rapid development of Internet and big data technologies, preserving the privacy of raster map has become an urgent task. To solve these issues, we propose a novel extended visual cryptography scheme to securely store a raster map into other two meaningful halftone maps in the paper. The scheme avoids the random-looking shares of visual cryptography schemes which are vulnerable and hard to manage. We first apply the halftone and color decomposition methods to transform a color secret map into halftone images. After that, we encode the secret map block by block to avoid pixel expansion. At last, by optimizing the selection of encrypted blocks, we achieve a high-quality secret recovery from generated multiple equal-sized shares. The technique used is to employ a versatile and secure raster map exchange. Experimental results show that, compared with previous work, the proposed scheme significantly improves the performance of recovered raster maps.
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Szendrei, Rudolf, István Elek, and Mátyás Márton. "Knowledge-Based Raster-Vector Conversion of Topographic Maps." Acta Cybernetica 20, no. 1 (2011): 145–65. http://dx.doi.org/10.14232/actacyb.20.1.2011.11.

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Lv, Bin, Hao Xu, Jianqing Wu, Yuan Tian, and Changwei Yuan. "Raster-Based Background Filtering for Roadside LiDAR Data." IEEE Access 7 (2019): 76779–88. http://dx.doi.org/10.1109/access.2019.2919624.

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Ravazzani, Giovanni. "MOSAICO, a library for raster based hydrological applications." Computers & Geosciences 51 (February 2013): 1–6. http://dx.doi.org/10.1016/j.cageo.2012.08.007.

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Dissertations / Theses on the topic "Raster-based"

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Siwela, Blessing. "Web-based management of time-series raster data." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/6441.

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Data discovery and data handling often presents serious challenges to organizations that manage huge archives of raster datasets such as those generated by satellite remote sensing. Satellite remote sensing produces a regular stream of raster datasets used in many applications including environmental and agricultural monitoring. This thesis presents a system architecture for the management of time-series GIS raster datasets. The architecture is then applied in a prototype implementation for a department that uses remote sensing data for agricultural monitoring. The architecture centres on three key components. The first is a metadatabase to hold metadata for the raster datasets, and an interface to manage the metadatabase and facilitate the search and discovery of raster metadata. The design of the metadatabase involved the examination of existing standards for geographic raster metadata and the determination of the metadata elements required for time-series raster data. The second component is an interactive tool for viewing the time-series raster data discovered via the metadatabase. The third component provides basic image analysis functionality typically required by users of time-series raster datasets. A prototype was implemented using open source software and following the Open Geospatial Consortium specifications for web map services (WMS) version 1.3.0. After implementation, an evaluation of the prototype was carried out by the target users from the RRSU (Regional Remote Sensing Unit) to assess the usability, the added value of the prototype and its impact on the work of the users. The evaluation showed that the prototype system was generally well received, since it allowed both the data managers and users of time-series datasets to save significant amounts of time in their work routines and it also offered some raster data analyses that are useful to a wider community of time-series raster data managers.
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Koehler, Richard Bruce. "Raster-based analysis and visualization of hydrologic time-series." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280516.

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Annual, seasonal, and daily discharge patterns determine many of the physical and biological properties of a stream. Natural short- and long-term variation of streamflow is part of the normal processes of a river or stream whereas artificial short- and long-term fluctuations can disrupt the natural processes of a river. It is critical to recognize and identify such artificial fluctuations and disturbances to have a more complete understanding of river systems. This understanding can be used to modify current management efforts to achieve more natural flow regimes. A new procedure using dual-timescale graphs is presented to visualize streamflow characteristics and to measure temporal change objectively. Theoretical development, procedural guidelines, and interpretation of results are included in the development of this new approach. The raster-based method is applied to two large river systems in the western United States. Data from twelve U.S. Geological Survey (USGS) streamflow stations within the middle and upper Snake River Basin and upper Colorado River Basin were analyzed using a dual-timescale raster-grid to identify flow signatures and disturbances. Patch-analysis and pattern quantification techniques used in landscape ecology were applied to dual-timescale raster-based hydrographs. Both river basins included gaging stations where minimal human-caused disturbances have taken place within the respective watershed. These stations function as control sites for interpretation of grid-correlograms and patch-analysis results.
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Mayers, Margaret Grace. "A study of four raster-based data generalization procedures." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/40979.

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Strategies for generalizing raster-based land cover data were investigated. Generalization strategies were studied as part of the U.S. Geological Survey's (USGS) Federal Land Information System (FLIS). Area filtering, category aggregation, resampling, and modal search and replace comprised the strategies tested on USGS Alaska Interim Land Cover data. Generalization of the land cover data was deemed necessary for two reasons: 1) reduction in the volume of homogeneous land cover regions required for computer memory storage, and 2) simplification of the highly complex land cover map. The generalization strategies were evaluated based upon how well they maintained the integrity of land cover information while minimizing the number of homogeneous land cover regions. Maintenance of land cover information after application of a generalization strategy was measured by omission and commission errors, percent unchanged, Cohen's statistic, and the number of land cover regions.
Master of Science
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Alexander, Julie G. "Hydrographic Surface Modeling Through A Raster Based Spline Creation Method." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1842.

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The United States Army Corp of Engineers relies on accurate and detailed surface models for various construction projects and preventative measures. To aid in these efforts, it is necessary to work for advancements in surface model creation. Current methods for model creation include Delaunay triangulation, raster grid interpolation, and Hydraulic Spline grid generation. While these methods produce adequate surface models, attempts for improved methods can still be made. A method for raster based spline creation is presented as a variation of the Hydraulic Spline algorithm. By implementing Hydraulic Splines in raster data instead of vector data, the model creation process is streamlined. This method is shown to be more efficient and less computationally expensive than previous methods of surface model creation due to the inherent advantages of raster data over vector data.
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Edwards, Aron Shaun. "Raster based coastal marsh classification within the Galveston Bay ecosystem, Texas." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2592.

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Yu, Jinsongdi [Verfasser]. "Towards a Specification-based Quality Guarantee for Geo Raster Web Services / Jinsongdi Yu." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2012. http://d-nb.info/1035219662/34.

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Niesterowicz, Jacek. "Unsupervised pattern-based regionalization of large multi-categorical raster maps using machine vision methods." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1490351367846515.

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Burgholzer, Robert William. "Using Accumulation Based Network Identification Methods to Identify Hill Slope Scale Drainage Networks in a Raster GIS." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32001.

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The simple accumulation-based network identification method (ANIM) in a raster Geographic Information System (GIS) posed by Oâ Callaghan and Mark (1984) has been criticized for producing a spatially uniform drainage density (Tarboton 2002) at the watershed scale. This criticism casts doubt on the use of ANIMs for deriving properties such as overland flow length for nonpoint source pollution models, without calibrating the accumulation threshold value. However, the basic assumption that underlies ANIMs is that convergent topography will yield a more rapid accumulation of cells, and thus, more extensive flow networks, with divergent, or planar terrain yielding sparser networks. Previous studies have focused on networks that are coarser than the hill-slope scale, and have relied upon visual inspection of drainage networks to suggest that ANIMs lack the ability to produce diverse networks. In this study overland flow lengths were calculated on a sub-watershed basis, with standard deviation, and range calculated for sub-watershed populations as a means of quantifying the diversity of overland flow lengths produced by ANIM at the hill slope scale. Linear regression and Spearman ranking analyses were used to determine if the methods represented trends in overland flow length as suggested by manual delineation of contour lines. Three ANIMs were analyzed: the flow accumulation method (Oâ Callaghan and Mark, 1984), the terrain curvature method (Tarboton, 2000) and the ridge accumulation method (introduced in this study). All three methods were shown to produce non-zero standard deviations and ranges using a single support area threshold, with the terrain curvature method producing the most diverse networks, followed by the ridge accumulation method, and then the flow accumulation method. At an analysis unit size of 20 ha, the terrain curvature method produced a standard deviation that was most similar to those suggested by the contour crenulations, -13.5%, followed by the ridge accumulation method, -21.5%, and the flow accumulation method, -61.6%. The ridge accumulation produced the most similar range, -19.1%, followed by terrain curvature, -24.9%, and flow accumulation, -65.4%. While the flow accumulation networks had a much narrower range of predicted flow lengths, it had the highest Spearman ranking coefficient, Rs=0.722, and linear regression coefficient, R2=0.602. The terrain curvature method was second, Rs=0.641, R2=0.469, and then ridge accumulation, Rs=0.602, R2=0.490. For all methods, as threshold values were varied, areas of dissimilar morphology (as evidenced by the common stream metric stream frequency) experienced changes in overland flow lengths at different rates. This results in an inconsistency in ranking of sub-watersheds at different thresholds. When thresholds were varied to produce average overland flow lengths from 75 m to 150 m, the terrain curvature method showed the lowest incidence of rank change, 16.05%, followed by the ridge accumulation method, 16.73%, then flow accumulation, 25.18%. The results of this investigation suggest that for all three methods, a causal relationship exists between threshold area, underlying morphology, and predicted overland flow length. This causal relationship enables ANIMs to represent contour network trends in overland flow length with a single threshold value, but also results in the introduction of rank change error as threshold values are varied. Calibration of threshold value (varying threshold in order to better match observed overland flow lengths) is an effective means of increasing the accuracy of ANIM predictions, and may be necessary when comparing areas with different stream frequencies. It was shown that the flow accumulation method produces less diverse networks than the terrain curvature and ridge accumulation methods. However, the results of rank and regression analyses suggest that further investigation is required to determine if these more diverse ANIM are in fact more accurate than the flow accumulation method.
Master of Science
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Wang, Huan. "A Large-scale Dynamic Vector and Raster Data Visualization Geographic Information System Based on Parallel Map Tiling." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/550.

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With the exponential increasing demands and uses of GIS data visualization system, such as urban planning, environment and climate change monitoring, weather simulation, hydrographic gauge and so forth, the geospatial vector and raster data visualization research, application and technology has become prevalent. However, we observe that current web GIS techniques are merely suitable for static vector and raster data where no dynamic overlaying layers. While it is desirable to enable visual explorations of large-scale dynamic vector and raster geospatial data in a web environment, improving the performance between backend datasets and the vector and raster applications remains a challenging technical issue. This dissertation is to implement these challenging and unimplemented areas: how to provide a large-scale dynamic vector and raster data visualization service with dynamic overlaying layers accessible from various client devices through a standard web browser, and how to make the large-scale dynamic vector and raster data visualization service as rapid as the static one. To accomplish these, a large-scale dynamic vector and raster data visualization geographic information system based on parallel map tiling and a comprehensive performance improvement solution are proposed, designed and implemented. They include: the quadtree-based indexing and parallel map tiling, the Legend String, the vector data visualization with dynamic layers overlaying, the vector data time series visualization, the algorithm of vector data rendering, the algorithm of raster data re-projection, the algorithm for elimination of superfluous level of detail, the algorithm for vector data gridding and re-grouping and the cluster servers side vector and raster data caching.
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Duerksen, Joel L. "A comparative analysis of the performance of floating point and integer based line drawing algorithms for raster displays." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/544005.

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In order to predict and analyze the performance of both floating point and integer line drawing algorithms the performance of individual instructions is examined. A select group of line drawing algorithms are implemented and timed in performance tests. An algorithms accuracy is observed along with its performance in three tests. These tests are performed on five computers for comparison. The effects of utilizing the standard code optimizer is included as an integral part of the research.
Department of Computer Science
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Books on the topic "Raster-based"

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Spatial bias in landscape ecological simulations: A case study of accounting for spatial dependence in a raster-based stochastic model using a region approach. Ottawa: National Library of Canada, 2002.

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C, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.

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C, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.

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C, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.

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C, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "Raster-based"

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Hardin, Eric, Helena Mitasova, Laura Tateosian, and Margery Overton. "Raster-Based Analysis." In GIS-based Analysis of Coastal Lidar Time-Series, 27–34. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1835-5_3.

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Shirabe, Takeshi. "On Distortion of Raster-Based Least-Cost Corridors." In Geographic Information Science, 101–13. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45738-3_7.

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Schneider, Bernhard, and Jo Wood. "Construction of Metric Surface Networks from Raster-Based DEMs." In Topological Data Structures for Surfaces, 53–70. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470020288.ch4.

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Bonham-Carter, G. F. "Integrating geological datasets with a raster-based geographic information system." In Digital Geologic and Geographic Information Systems, 1–13. Washington, D. C.: American Geophysical Union, 1989. http://dx.doi.org/10.1029/sc010p0001.

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Frischknecht, Steffen, and Entela Kanani. "Automatic interpretation of scanned topographic maps: A raster-based approach." In Graphics Recognition Algorithms and Systems, 207–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64381-8_50.

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Xu, Ming, Han Cao, and Chang-ying Wang. "Raster-Based Parallel Multiplicatively Weighted Voronoi Diagrams Algorithm with MapReduce." In Advances in Intelligent Systems and Computing, 177–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03449-2_18.

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Lee, Kyu Jae, Yasuto Shirai, and Tosiyasu L. Kunii. "Attribute-Grammar Based Approach to Vector Extraction from a Raster Image." In CG International ’90, 225–40. Tokyo: Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68123-6_14.

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Sun, Min, Yong Xue, Ai-Nai Ma, and Shan-Jun Mao. "Dynamic Vector and Raster Integrated Data Model Based on Code-Points." In Lecture Notes in Computer Science, 984–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47789-6_104.

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Zhao, Renliang, Zhilin Li, Jun Chen, C. M. Gold, and Yong Zhang. "A Hierarchical Raster Method for Computing Voronoi Diagrams Based on Quadtrees." In Lecture Notes in Computer Science, 1004–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47789-6_106.

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Yin, Fang, Min Feng, and Jia Song. "Research on Mass Geospatial Raster Data Processing Based on Map/Reduce Model." In Lecture Notes in Electrical Engineering, 261–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28807-4_37.

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Conference papers on the topic "Raster-based"

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Aifeng Lu and Yanting Zheng. "A Raster-based forest fire regime model." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002718.

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Zhang, Yifan, Sheng Tu, Reza K. Amineh, and Natalia K. Nikolova. "Sensitivity-based microwave imaging with raster scanning." In 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012. IEEE, 2012. http://dx.doi.org/10.1109/mwsym.2012.6258250.

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Yamada, Fernanda Miyuki, Joao Paulo Gois, and Harlen Costa Batagelo. "Solving Tangram Puzzles Using Raster-Based Mathematical Morphology." In 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 2019. http://dx.doi.org/10.1109/sibgrapi.2019.00024.

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Tu, Sheng, Yifan Zhang, and Natalia K. Nikolova. "Sensitivity-based quantitative imaging using planar raster scanning." In 2014 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2014. http://dx.doi.org/10.1109/aps.2014.6904666.

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Menegais, Roberto, Flavio Franzin, Lorenzo Kaufmann, and Cesar Pozzer. "A Raster-based Approach for Waterbodies Mesh Generation." In 16th International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010195501430152.

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Coltuc, Dinu, and Ioan-Catalin Dragoi. "Context embedding for raster-scan rhombus based reversible watermarking." In the first ACM workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2482513.2482535.

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Dogan, Yahya, Musa Atas, and Cuneyt Ozdemir. "A new approach for plotting raster based image files." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830407.

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Hao, Yanling, Lei Li, and Ning Li. "A Raster-Based Marine Data Model with Its Application." In 2009 International Joint Conference on Computational Sciences and Optimization, CSO. IEEE, 2009. http://dx.doi.org/10.1109/cso.2009.212.

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Recker, John L., Giordano B. Beretta, and I.-Jong Lin. "Font rendering on a GPU-based raster image processor." In IS&T/SPIE Electronic Imaging, edited by Reiner Eschbach, Gabriel G. Marcu, Shoji Tominaga, and Alessandro Rizzi. SPIE, 2010. http://dx.doi.org/10.1117/12.839486.

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Yue-jing, Li. "Graphical Display Intelligence Software Based On A Raster Scan." In 1986 International Symposium/Innsbruck, edited by John F. Gilmore. SPIE, 1987. http://dx.doi.org/10.1117/12.938504.

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Reports on the topic "Raster-based"

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Suir, Glenn, Melissa Carle, J. Harris, Charles Sasser, and Christina Saltus. Raster-based floristic quality index : proof of concept. Engineer Research and Development Center (U.S.), September 2020. http://dx.doi.org/10.21079/11681/38124.

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Loreno, Sara. The Cost of Hauling Timber: A Comparison of Raster- and Vector- Based Travel-Time Estimates in GIS. Portland State University Library, January 2000. http://dx.doi.org/10.15760/geogmaster.08.

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de Vries, Sander C. WFLOW_LINTUL: raster-based simulation of rice growth in the WFLOW/OpenStreams hydrological modelling platform : user manual and description of core model code. Wageningen: Wageningen Research (WR) business unit Agrosystems Research, 2018. http://dx.doi.org/10.18174/461276.

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Saltus, Christina, Todd Swannack, and S. McKay. Geospatial Suitability Indices Toolbox (GSI Toolbox). Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41881.

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Abstract:
Habitat suitability models are widely adopted in ecosystem management and restoration, where these index models are used to assess environmental impacts and benefits based on the quantity and quality of a given habitat. Many spatially distributed ecological processes require application of suitability models within a geographic information system (GIS). Here, we present a geospatial toolbox for assessing habitat suitability. The Geospatial Suitability Indices (GSI) toolbox was developed in ArcGIS Pro 2.7 using the Python® 3.7 programming language and is available for use on the local desktop in the Windows 10 environment. Two main tools comprise the GSI toolbox. First, the Suitability Index Calculator tool uses thematic or continuous geospatial raster layers to calculate parameter suitability indices based on user-specified habitat relationships. Second, the Overall Suitability Index Calculator combines multiple parameter suitability indices into one overarching index using one or more options, including: arithmetic mean, weighted arithmetic mean, geometric mean, and minimum limiting factor. The resultant output is a raster layer representing habitat suitability values from 0.0 to 1.0, where zero is unsuitable habitat and one is ideal suitability. This report documents the model purpose and development as well as provides a user’s guide for the GSI toolbox.
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