The Florida manatee (Trichechus manatus latirostris) is a protected species that is vulnerable to both anthropogenic and natural causes of mortality. The ability of wildlife managers to oversee regulation of this species is based on available abundance estimates and mortality data. Using existing manatee mortality data collected by Florida Fish and Wildlife Conservation Commission (FWC) from 1974-2012, this study focuses on identifying significant spatial clusters of high values or “hotspots” of manatee mortality and the temporal patterns of these hotspots using the novel “emerging hotspot analysis” ArcGIS tool. The categories of manatee mortality included in this analysis were watercraft-related, perinatal, cold-stress, and other natural (which includes red tide) and were classified into five hotspot pattern categories. Of interest were the locations where consecutive or new hotspot patterns were identified among the four categories of manatee mortality included in this analysis. Consecutive hotspot clusters were found near Tampa Bay (which includes parts of Pinellas, Hillsborough, and Manatee Counties) and in the counties of Hernando/Pasco, Monroe, Palm Beach/Broward/Miami-Dade, St. Johns/Flagler, and Citrus. New hotspot clusters were found in Tampa Bay (which includes parts of Pinellas, Hillsborough, and Manatee Counties) and in the counties of Nassau, Wakulla, Charlotte/Lee, St. Lucie/Martin, Levy, Duval, Dixie, Volusia/Seminole, and Citrus. These mortality hotspots frequently overlapped areas of higher manatee and human population densities. These hotspot clusters indicate emerging patterns that highlight areas to focus future research by wildlife managers; specifically, on the relationship between human population density and concentration of watercraft activities in coastal areas, as well as the influence coastal development has on the vital resources utilized by manatees.

The diploma thesis deals with the creation of a geographic information system for the needs of cycling. The Brno Wine Trail is an area of interest. The whole project is implemented on Esri's ArcGIS platform. Data were collected outdoor using the Collector Classic mobile application and the Trimble R1 GNSS handheld receiver. The project was processed in ArcMap 10.4. and subsequently published on ArcGIS Online. The result of the thesis is a free web application. Users can view the course of the trail according to various criteria and points of interest there. Among other things, the thesis includes basic database queries and simple analytical task on the measured data. A file in the *.kmz format is the one of the outputs for the presentation of data.

The subject of this thesis was to create cycle path geographic information system (GIS) north of Znojmo wine trail. The main goal of the GIS witch informs about parameters of cycle routes and attractions and services. Data collection was carried out in terrain and were obtained necessary data and maps for the creation of GIS. ArcGIS 10.1 from ESRI company was been used for proccesing of data. Couple of outputs from GIS has been created at the end of the work. The user can use GIS data in various programs and on different platforms.

In this work, I dealt with the repercussion of drought on agriculture and land in the cadastral Jinošov. For this area, I analyzed the erosion and ratio of outflow. I also conducted a proposal of adaptation measures against erosion and water retention in the area. In conclusion, I analyzed withholding data and assessed the retention before and after the proposal of adaptation measures. The result of my work is finding that rainfall is inadequate and largely come out of the growing season, that despite all the measures fail to create on the necessary retention for the correct functioning of the landscape. Therefore it is necessary to solve water supply from other areas where is sufficient supply of water.

The New National Elevation Model (NNH) is a new high-resolution digital elevation model (DEM) of Sweden from airborne laser scanning. It creates many new opportunities, particularly in the area of flood mapping. NNH is provided by Lantmäteriet in two formats, both in raw LIDAR (Light Detection and Ranging) data and in grid format with two meter resolution. These alternatives have advantages and disadvantages and the aim of this thesis research is to identify these. One of the focuses of the study is data storage and thus data structure analysis, resolution and storage facilities. The research questions are: Why and in what context the different NNH-products from the National Land Survey are used (DEM 2+ or point cloud)? What constraints and opportunities are created by the different options, mainly in terms of different software, resolution, and data storage? The study area is Kärsön in Ekerö municipality located in Stockholms län and has an approximate area of 25 square kilometers. The study is divided into two parts. The first objective is to identify the consequences of using different software to create DEM from pointcloud compared to the DEM2+ model. Height models with a two meter resolution are created in FME and ArcGIS. The models are then compared with the grid from Lantmäteriet, created in TerraScan. The second objective is to examine the impact of the change in resolution, both the storage aspect and both the accuracy aspect. Inverse Distance Weighted (IDW) is an interpolation method which in previous studies proved to have the best results on high resolution LIDAR data. This model was tested and compared with a model from FMEs built-in function and the model from Lantmäteriet wich are based on triangulation (also proved a good method in previous studies).  The grid created in TerraScan has good properties such as accuracy. The results show that the built-in ArcGIS model is not sufficient for the purposes of the model. Flood mapping requires continuous surfaces and the model lacks large areas of data. However, there are other aspects such as the break lines, these cannot be added to the TerraScan model or in the IDW but in the FME-modeler it is possible. In addition, it is not possible to edit the model that is delivered from Lantmäteriet. If there are outliers in the data, they will have much impact on the result. With a model created from the point cloud it is easy to remove these outliers. Increased resolution gives a quadratic increase in storage space so it is considered important not to use a resolution that is not really necessary.  If the purpose of the analysis requires higher resolution than two meters it is possible to achieve higher accuracy for areas with high point density. The raw data format also provides opportunities to create additional models with other uses, building models or forest inventory application can for example be extracted from the data. If the purpose is that the finished grid model is adequate, there is no direct reason to spend time creating a new model. But for a user with knowledge of laser data structure and processing, creating elevation models from raw LIDAR data could give advantages.

This diploma thesis deals with the analysis of the threat of water erosion in the cadastral areas of the municipalities of Horní Poříčí, Prostřední Poříčí and Dolní Poříčí, which is located in the South Moravian Region in the district of Blansko. The thesis also contains draft anti-erosion measures, based on the analyses performed. The first part of the thesis consists of literary research focusing on erosion issues focusing on the legislative framework of soil protection. This part also contains the characteristics of the area of interest. The next part is focused on the determination and explanation of the processing procedure used in the practical part. Here is explained the principle of calculating the average long-term loss of soil by water erosion by the universal equation USLE according to Wischmeier and Smith and the determination of the individual factors entering this equation. The methodology also describes the process of calculating individual factors and the long-term loss of soil by water erosion in ArcGIS, USLE2D and LS Converter. Data BPEJ, LPIS and ZABAGED(R) were used for processing. The practical part contains proposal of anti-erosion measures and analysis of erosion hazard after their application in the area of interest. The results are presented in the form of manual outputs, always for the current state and for the status after the application of the proposed measures.

No description available.

Goal number 12 of the Sustainable Development Goals (SDGs) by the United Nations (UN)emphasises on how the increase in the world population is hampering the achievement ofenvironmental sustainability. The diminishing resources of nature draw attention to the factthat more innovative methods need to salvage the environment and the planet at large.Textiles or clothing are one of the essential things that every human owns and with a globalpopulation of over 7 billion, there is an urgency to find ways to reduce its production, due tothe number of resources used and the amount of emissions the textile/clothing industryproduces.The Swedish Red Cross is a charitable organisation that deals with second-hand clothing toraise profits for its activities while contributing to environmental sustainability. Their secondhandretail shops give customers value for their money while extending the lifecycle of clothes.Due to their non-profitable nature puts much pressure on their finances. The need for revenuecalls for finding more environmentally sustainable ways of making a profit out of the clothesthey receive while evaluating the transportation options to reduce cost.Literature review and route optimisation in ArcGIS are used in the analysis. Driving timeanalysis is carried out to link stores to the closest depots to provide graphical and efficientmeans of reaching all the stores. The review of literature offers insights for environmentallysustainable ways of making a profit from second-hand clothes.The outcome provides results which will help generate more profit as well as cut down themajor contributor to the high transportation cost by more than 50%. Moreover, a suggestion ismade for a new time frame and a new travel mode to improve the coordination between thestores and the depots

This thesis is dedicated to contributing to the field of semi-automatic extraction of 3D buildings in level of detail 2 (LOD2). The data used in the thesis is open data available in Sweden, such as building footprints from local municipalities and national light detection and ranging (LiDAR) data. The study site is a part of a central street of the city Gävle, Sweden. To perform the automatic extraction of 3D buildings the software ArcGIS PRO and its solution for 3D buildings was used. The method consists of experimenting with the segmentation of the building footprints and then comparing the resulting models RMSE as a whole and for two specific buildings of different size (one small and one large building). There are some improvements that can be made in the quality assessment of the 3D models as the method used in this thesis bases the RMSE of the 3D models the obtained digital surface model (DSM). One possible way to improve the quality assessment would have been to perform a field survey to gather reference points with lower uncertainties than the DSM e.g. employing a total station. The conclusions of the thesis identify key settings that affects the 3D modelling. The best model, lowest RMSE, achieved an RMSE of 2.36 meters with tuning the setting of spatial detailwhile the rest of the settings were kept at their default values. Furthermore, the thesis identifies that the regularization tolerance setting, when segmenting the building footprints, affects the 3D models of large buildings negatively, as seen in an increase of RMSE when it is set to 0.5 meters and lower. However, further studies are required on a larger scale to better validate the conclusions.

This thesis presents a holistic study of connections in the Altai Mountains of the eastern Eurasian Steppe, as shown by rock-art. Currently divided by four countries, pecked images (petroglyphs) and painted images from the 2^nd-1^st millennium BCE have been subjected to very separate research traditions, exacerbated by language barriers. This thesis focusses on the entire Altai Mountain range as a study area, integrating research published in Chinese and Russian, with supplementary literature in Kazakh and Mongolian consulted. To demonstrate the potential for connectivity and, consequently, movement, a map of accessibility was generated, showing that there are various optimal routes for movement throughout the Altai. The locations of rock-art sites relative to these routes indicate that movement was a key feature contributing to the creation of rock-art. Examining topographic features in the vicinity of rock-art sites of three regions (Mongolia, Russia, PRC) highlighted an association between watercourses and sites, whilst studying the micro-landscape within panels found that the creators of rock-art were not representing the tangible spatial relationship of figures to the landscape. More broadly, similarities between motifs at rock-art sites, as well as on portable art, demonstrate that the people making them, regardless of whether they were aware of it or not, were part of a wider understanding of how to depict subjects. Evidence of this understanding can be found even in regions with very different cultural backgrounds to the Steppe, such as the Chinese Central Plains, demonstrating that groups outside of the Steppe were aware of and using this way of representing. By combining analysis of motifs with that of the landscape, this thesis demonstrates that rock-art as a practice was inherently linked with to the landscape, whereas content and style are more indicative of a wide-ranging belief system amongst Steppe pastoralists, which was expressed aesthetically.