Academic literature on the topic 'ArcGIS Pro'

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Journal articles on the topic "ArcGIS Pro"

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Macdonald, Owen. "Getting to Know ArcGIS Pro." Cartographic Journal 54, no. 3 (July 3, 2017): 284–85. http://dx.doi.org/10.1080/00087041.2017.1371449.

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Barsai, Gabor. "Getting to know ArcGIs Pro." Photogrammetric Engineering & Remote Sensing 84, no. 4 (April 1, 2018): 181–82. http://dx.doi.org/10.14358/pers.84.4.181.

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Allen, David W., and Matthew J. Gerike. "Focus on Geodatabases in ArcGIS Pro." Photogrammetric Engineering & Remote Sensing 87, no. 7 (July 1, 2021): 468–69. http://dx.doi.org/10.14358/pers.87.7.468.

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LaLonde, Tara Louise. "Review of Getting to Know ArcGIS Pro." Cartographic Perspectives, no. 86 (July 28, 2017): 45–47. http://dx.doi.org/10.14714/cp86.1370.

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Koch, Tom. "Review of GIS Tutorial 1 for ArcGIS Pro." Cartographic Perspectives, no. 89 (February 7, 2018): 61–65. http://dx.doi.org/10.14714/cp89.1457.

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Molter, Anna. "XLUR: A land use regression wizard for ArcGIS Pro." Journal of Open Source Software 5, no. 50 (June 12, 2020): 2177. http://dx.doi.org/10.21105/joss.02177.

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Šťovíček, Vít. "Automatické vymezení povodí na území Česka v ArcGIS Pro." Vodohospodářské technicko-ekonomické informace 64, no. 1 (February 17, 2022): 4. http://dx.doi.org/10.46555/vtei.2021.11.002.

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Barsai, Gabor. "Book Review—GIS Tutorial 1 ArcGIS PRO: A Platform Workbook." Photogrammetric Engineering & Remote Sensing 84, no. 10 (October 1, 2018): 598. http://dx.doi.org/10.14358/pers.84.10.657.

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Tickner, Amanda. "Review of Making Spatial Decisions Using ArcGIS Pro: A Workbook." Cartographic Perspectives, no. 89 (December 11, 2017): 59–60. http://dx.doi.org/10.14714/cp89.1432.

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Simpkin, Sarah. "Book reviews by Rhys Stevens, Martin Chandler and Andrew Nicholson." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 162 (July 25, 2019): 10–14. http://dx.doi.org/10.15353/acmla.n162.1355.

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Carter, J. Chris. Introduction to Human Geography Using ArcGIS Online. Redlands, CA: Esri Press, 2019. 440p. $74.99 US. ISBN 9781589485181 (Print); 9781589485198 (E-book). Maher, Margaret M. Lining Up Data in ArcGIS: A Guide to Map Projections, Third Edition. Redlands, CA: Esri Press, 2018. 272p. $39.99 US. ISBN 978-1-58948-520-4. Price, Maribeth H. Switching to ArcGIS Pro from ArcMap. Redlands, CA: Esri Press, 2019. 172p. $49.99 US. ISBN: 9781589485440.
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Dissertations / Theses on the topic "ArcGIS Pro"

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Štohanzl, Pavel. "Využití programu ArcGIS pro telekomunikační sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217273.

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This thesis deals with the issues of locating and marking both metalic and optical transmission network. The choice of an appropriate program for creation and management of map document is discussed. In the following chapter some necessary adjustments to the ArcGIS ArcView program are made so that it is applicable to the field of telecommunication networks. The last chapter addresses the design of documentation options in optical transmission network. For metalic cables the possibilities of attaching transmitter to a cable and locating the induced magnetic field is covered. Among the methods for finding optical cables we list ways of locating through the use of markers, GPS location and added metalic conductors. Fundamentals of markers and their types are thoroughly analysed. In the chapter on GPS we examine how this system works and evaluate its accuracy. The next chapter enumerates requirements that a program should meet. We analyse properties of considered programs and evaluate them with respect to these requirements. For a chosen program the possibilities of enriching it with selected map document are discussed. For these map document, information about their applicability and source is presented. We also quote the cost for these maps wherever possible. The last chapter treats ways of documenting optical networks.
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Hupšil, Radim. "Rastrová analýza pro GIS nástroj ArcGIS." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235877.

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This project is about studying geographic information system ArcGIS. It focuses on possibilities of extending ArcGIS by custom extensions and method of their programming. Furthermore some basic tools of raster analysis are ilustrated. This project's main objective is to design and implement custom implementation of ArcGIS extension, which provides a set of tools for raster analysis. Design is inspired by an existing extension - Spatial Analyst developed by ESRI.
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Garli, Matilda. "Jämförelse mellan generaliseringsverktyg i ArcGIS Pro och FME Desktop." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78854.

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Vid framställning av småskaliga kartor från storskaliga kartor behöver de kartografiska objekt som kartan utgörs av generaliseras för att den ska förbli läsbar. Historiskt har generaliseringen och urvalet vid skapandet av kartor utförts av kartografen när kartan ritats, men i dag kan generaliseringen göras automatiskt för att effektivisera generaliseringsprocessen. Automatisk generalisering är en avancerad process där flera algoritmer behöver användas för att generaliseringen ska efterlikna den en kartograf gör vid ritandet av en karta. Flera olika geografiska informationssystem och andra programvaror erbjuder möjligheten att automatiskt generalisera kartobjekt vid kartframställning, vilket är nödvändigt när stora datamängder ska generaliseras, men få jämförelser har gjorts mellan olika programvarors generaliseringsverktyg. Syftet med detta examensarbete är att jämföra och utvärdera verktyg för automatisk generalisering av kartobjekt i programvarorna ArcGIS Pro och FME Desktop. Det som undersöks och jämförs är hur verktygen i de båda programvarorna skiljer sig, om tidsåtgången vid användningen av verktygen är olika och hur resultatet efter generalisering av byggnader och vägar ser ut i de båda programvarorna. Resultatet från jämförelsen kan användas av kommuner eller olika länders nationella lantmäterier och kartverk vid valet av programvara för generalisering, eller vid generalisering av webbkartor. Tre typer av generaliseringsmetoder som kan användas på kartobjekt och som undersöktes vid jämförelsen av de två programvarorna i denna studie är förenkling, utjämning och sammanslagning. Vid digital och automatisk förenkling av linjer används förenklingsalgoritmer, vilka tar bort brytpunkter från linjens geometri för att förenkla den. Vid utjämning används utjämningsalgoritmer, vilka flyttar på brytpunkter i linjens geometri för att göra den mjukare. När sammanslagning av polygoner görs vid digital och automatisk generalisering grupperas först flera mindre polygoner ihop baserat på avståndet mellan dem, för att sedan ersättas av en enda större polygon. De data som i jämförelsen generaliserades i de båda programvarorna var vektordata från GSD-Fastighetskartan och från Karlstads kommuns baskarta. Resultatet från generaliseringen sammanställdes genom att antal brytpunkter, väglinjer och byggnadspolygoner samt byggnadsarea före och efter generalisering beräknades. Tidtagning gjordes på processerna i de båda programvarorna och programvarornas olika verktyg och respektive verktygs parametrar sammanställdes och jämfördes. Resultatet från jämförelsen visar att FME Desktop saknar möjligheter att tunna ut vägnätverk. Förenkling av väglinjer tar längre tid att genomföra i ArcGIS Pro och skillnaderna mellan det kvantitativa resultatet i båda programvarorna är liten, medan det finns några betydande skillnader i det grafiska resultatet, där topologin förändras efter förenkling i FME Desktop. De grafiska skillnaderna mellan utjämning av vägarna i de båda programvarorna anses vara obetydliga, men eftersom de utjämnade väglinjerna i ArcGIS Pro följer originallinjen närmre kan det medföra färre spatiala konflikter med kartobjekt i andra kartlager. Förenkling av byggnader anses inte lämpligt att göra med de verktyg som finns tillgängliga i FME Desktop. Det finns både för- och nackdelar med att göra sammanslagning av byggnader i FME Desktop istället för i ArcGIS Pro.
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Strnad, David. "Vyhledávací studie vhodných lokalit pro nové PVE v ČR." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-258609.

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This theses reports on facts about pumped storage power plants. The first part of the theses introduces us to the importace of hydropower, consists of a description of historical development of pumping sets, and also defines limitations for its potential suitable localization. The research is processed via ArcGIS software and it´s methodologically divided into three phases. The first phase is searching for the minimum suitable terrain gradient on the whole Czech landscape and it defines local insterests for the next phase of research. The second phase is based on limited factors and assesses the chosen location of interest. The final phase provides detail on the most potentially suitable destinations with specific locations of pumped storage power plants. The study resulted in map outputs of final destinations and locations of interest across the Czech landscape. The distinction of source data and the importace of classification of enviromental factors are included in the discussion.
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Larsson, Anton. "Utvärdering av metod för att skapa 3D-byggnader i LOD2 : En jämförelse mellan 3D-byggnader från stereokartering och ArcGIS Pro med volymberäkning." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55072.

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The transition to geographical data in 3D is facing big challenges regarding the creation of common standards for a functioning global spatial data infrastructure. The need for such data in planning processes has recently increased. Creating 3D-buildings in LOD1 is rather uncomplicated but creating buildings with a higher level of detail, that provide a better illustration of reality, are expensive and time consuming. The resources and efforts to establish geographical data in 3D differ in Sweden's municipalities, where some rural areas often do not have the same opportunities as urban areas. Therefore, a cost-effective and time-efficient method of creating 3D models for, e.g. municipal planning and civil dialogue would be well received. In this thesis project, the method of creating 3D buildings in ArcGIS Pro using the ExtractRoofForm tool is evaluated. Different data sources used as inputs were analyzed by comparing the outcome of successfully created buildings. In ArcGIS Pro, the calculation of root mean square error was used as measure to distinguish successful and unsuccessful buildings. The result of the ArcGIS Pro process was compared to 3D buildings in LOD2 produced by stereo mapping as reference data. The comparison was done by volume calculation, where the result indicates the significance of different inputs to the extraction of 3D buildings, and how well the evaluation of the process works. It could be shown that input data quality largely affects the process. Data with the highest quality gave the best results in the extraction process. The result of the volume calculation shows that successful buildings in ArcGIS Pro also had a high accuracy. Volume calculation and calculation of root mean square error show no correlation. A reason for this could be that there may be some problems evaluating the process of extracted 3D buildings resulting in more time-consuming work with editing after the extraction process. Still, the process of creating 3D buildings shows great potential for a successful outcome.
Övergången till geografisk information i 3D innebär ett stort arbete med att skapa gemensamma standarder för en fungerande GIS-samverkan världen över. Efterfrågan på presentation av geografisk information i 3D som en del i planeringsprocesser eller att utöva medborgardialog har på senare tid ökat. Att skapa 3D-byggnader i LOD1 är relativt enkelt men att kartera byggnader med en högre detaljnivå som ger en mer realistisk bild av verkligheten kan vara både dyrt och tidskrävande. Resurserna varierar mellan olika områden runt om i landet och vissa glesbygdsområden inte har samma möjlighet att erbjuda utbud av t.ex. medborgardialog som i mer urbana områden. Därför skulle en kostnad- och tidseffektiv metod att skapa 3D-modeller för exempelvis kommunal planeringsprocess och medborgardialog vara välkommen. I detta examensarbete utvärderas metoden att skapa 3D-byggnader i ArcGIS Pro med verktyget ”ExtractRoofForm”. Olika datakällor som används som indata analyserades genom att jämföra utfallet av lyckade byggnader. I ArcGIS Pro användes beräkning av medelfel som utvärdering för att skilja lyckade och mindre lyckade byggnader åt. Resultatet av processen i ArcGIS Pro jämfördes med 3D-byggnader i LOD2 framställda av stereokartering som referensdata. Jämförelsen gjordes med volymberäkning där resultatet avser att ge en fingervisning om betydelsen av indatakvalitet vid skapandet av 3D-byggnader samt om hur väl utvärderingen efter processen fungerar. Kvaliteten på indata visade sig efter analys ha betydelse där data med högst kvalitet också gav bäst utfall av lyckade 3D-byggnader. Resultatet av volymberäkning visade att byggnader med lyckat utfall i extraheringsprocessen också uppvisade en hög noggrannhet. Resultaten från volym-beräkning och beräkning av medelfelet visar ingen korrelation vilket tyder på att det kan finnas vissa problem med att utvärdera processen av skapade 3D-byggnader. Detta medför mer tidskrävande efterarbete än nödvändigt. Dock visar processen att skapa 3D-byggnader stora möjligheter till ett gott resultat.
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Lood, Olof. "Prediktering av grundvattennivåi område utan grundvattenrör : Modellering i ArcGIS Pro och undersökningav olika miljövariablers betydelse." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448020.

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Myndigheten Sveriges Geologiska Undersökning (SGU) har ett nationellt ansvar för att övervaka Sveriges grundvattennivåer. Eftersom det inte är möjligt att få ett heltäckande mätstationssystem måste grundvattennivån beräknas på vissa platser. Därför är det intressant att undersöka sambandet mellan grundvattennivån och utvald geografisk information, så kallade miljövariabler. På sikt kan maskininlärning komma att användas inom SGU för att beräkna grundvattennivån och då kan en förstudie vara till stor hjälp. Examensarbetets syfte är att genomföra en sådan förstudie genom att undersöka vilka miljövariabler som har störst betydelse för grundvattennivån och kartlägga modellosäkerheter vid grundvattenprediktering. Förstudien genomförs på sju områden inom SGUs grundvattennät där mätstationerna finns i grupper likt kluster. I förstudien används övervakad maskininlärning som i detta examensarbete innebär att medianvärden på grundvattennivån och miljövariablerna används för att träna modellerna. Med hjälp av statistisk data från modellerna kan prestandan utvärderas och justeringar göras. Algoritmen som används heter Random Forest som skapar ett klassifikations- och regressionsträd, vilket lär modellen att utifrån given indata fatta beslut som liknar männiksans beslutfattande. Modellerna ställs upp i ArcGIS Pros verktyg Forest-based Classification and Regression. På grund av områdenas geografiska spridning sätts flera separata modeller upp. Resultatet visar att det är möjligt att prediktera grundvattennivån men betydelsen av de olika miljövariablerna varierar mellan de sju undersökta områdena. Orsaken till detta lär vara geografiska skillnader. Oftast har den absoluta höjden och markens lutningsriktning mycket stor betydelse. Höjd- och avståndsskillnad till låg och hög genomsläpplig jord har större betydelse än vad höjd- och avståndsskillnad har till medelhög genomsläpplig jord. Höjd- och avståndsskillnad har större betydelse till större vattendrag än till mindre vattendrag. Modellernas r2-värde är något låga men inom rimliga gränser för att vara hydrologiska modeller. Standardfelen är oftast inom rimliga gränser. Osäkerheten har visats genom ett     90 %-igt konfidensintervall. Osäkerheterna ökar med ökat avstånd till mätstationerna och är som högst vid hög altitud. Orsaken lär vara för få ingående observationer och för få observationer på hög höjd. Nära mätstationer, bebyggelse och i dalgångar är osäkerheterna i de flesta fallen inom rimliga gränser.
The Swedish authority Geological Survey of Sweden (SGU) has a national responsibility to oversee the groundwater levels. A national network of measurement stations has been established to facilitate this. The density of measurement stations varies considerably. Since it will never be feasible to cover the entire country with measurement stations, the groundwater levels need to be computed in areas that are not in the near vicinity of a measurement station. For that reason, it is of interest to investigate the correlation between the groundwater levels and selected geographical information, so called environmental variables. In the future, SGU may use machine learning to compute the groundwater levels. The focus of this master's thesis is to study the importance of the environmental variables and model uncertainties in order to determine if this is a feasible option for implementation on a national basis. The study uses data from seven areas of the Groundwater network of SGU, where the measuring stations are in clusters. The pilot study uses a supervised machine learning method which in this case means that the median groundwater levels and the environmental variables train the models. By evaluating the model's statistical data output the performance can gradually be improved. The algorithm used is called “Random Forest” and uses a classification and regression tree to learn how to make decisions throughout a network of nodes, branches and leaves due to the input data. The models are set up by the prediction tool “Forest-based Classification and Regression” in ArcGIS Pro. Because the areas are geographically spread out, eight unique models are set up. The results show that it’s possible to predict groundwater levels by using this method but that the importance of the environmental variables varies between the different areas used in this study. The cause of this may be due to geographical and topographical differences. Most often, the absolute level over mean sea level and slope direction are the most important variables. Planar and height distance differences to low and high permeable soils have medium high importance while the distance differences to medium high permeable soils have lower importance. Planar and height distance differences are more important to lakes and large watercourses than to small watercourses and ditches.  The model’s r2-values are slightly low in theory but within reasonable limits to be a hydrological model. The Standard Errors Estimate (SSE) are also in most cases within reasonable limits. The uncertainty is displayed by a 90 % confidence interval. The uncertainties increase with increased distance to measuring stations and become greatest at high altitude. The cause of this may be due to having too few observations, especially in areas with high altitude. The uncertainties are smaller close to the stations and in valleys.
SGUs grundvattennät
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Středová, Kamila. "Optimální digitální model terénu pro erozní analýzy." Master's thesis, Česká zemědělská univerzita v Praze, 2017. http://www.nusl.cz/ntk/nusl-262777.

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The thesis deals with the question of using available sources of elevation data for the evaluation of topographic factor in estimating the amount of water erosion in the area. Work compares the results with consideration to the origin of the data, the accuracy and resolution of the digital terrain model, which is interpolated from the source data. The calculation of topographic factor in ArcGIS will be confronted with the results of the Universal Soil Loss Equation (USLE). The frequency of compliance will tell us which data source and digital terrain model resolution is the most suitable for determining the topographic factor.
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Nilsson, Olov. "3D- modellering med LAS-data : Tester i ett licensierat- och i ett Open source-program." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72665.

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Det har blivit mer populärt att skapa 3D-modeller bland kommuner och företag idag. Det går att visualisera de flesta föremål i 3D, vilket kan skapa större tydlighet och därmed ökad förståelse. Lidköpings kommun vill kunna använda sin LiDAR-data till att visualisera byggnader samt kunna kombinera flera datalager med 3D-visualiseringar för att kunna skapa användbara karttjänster. I dagsläget finns det ingen programvara som kan skapa 3D-modeller av LiDAR-data i kommunen. Lidköpings kommun är intresserade av vilka alternativ för GIS-programvaror som finns. De programvaror som valts ut för att skapa 3D-modeller i studien är ArcGIS Pro och QGIS. ArcGIS Pro är en erkänd GIS-programvara på marknaden. Den är licensierad och kostsam. QGIS däremot är en GIS-programvara som är gratis och uppbyggd på fri källkod, vilket gör det möjligt att själv skapa algoritmer som sedan kan användas i programmet. Studien är en jämförelse mellan en programvara som är kostsam och en som är gratis. Metoden som används för att jämföra de båda programvarorna består av tre steg. Steg 1 är en programvarujämförelse, där olika påståenden ställer programvarornas kapacitet mot varandra. Steg 2 är en kontroll av lägesosäkerhet där koordinaterna av 3D-modellernas byggnadshörn jämförs med koordinater inmätta med totalstation. RMSE används för att jämföra lägesosäkerheten. Steg 3 är en visualiseringsanalys som sker igenom ett frågeformulär, vilket går ut till personer som är bekanta med GIS och 3D. Frågeformuläret ställer bilder med 3D-modeller från båda programvarorna mot varandra. Resultatet av samtliga tre steg visar, enligt metoden som har utförts, att ArcGIS Pro är den bättre programvaran. I steg 1 hade ArcGIS Pro fördelar på fem av åtta påståenden jämfört med QGIS. QGIS hade dock mindre tidsåtgång än ArcGIS Pro. I steg 2 hade ArcGIS Pro RMSE för höjd värdet; 1,617, vilket var lägre än RMSE-värdet; 1,961 i QGIS. Enligt svaren från enkäten i steg 3 bedömde ca 90 % av de svarande att ArcGIS Pro var det bättre programmet i de flesta avseenden för de avsedda ändamålen. Vissa jämförelser blev inte helt jämna. QGIS hade minst tidsåtgång för att det inte blev lika mycket felkoder som behövde undersökas som i ArcGIS Pro, även om processen för skapandet av 3D-modeller gick snabbare i ArcGIS Pro. Lägesosäkerhetsjämförelsen på höjd i ArcGIS pro var närmare de inmätta punkterna, då takmodellen skapade större tydlighet. Det blev lättare att se var taket började. I QGIS fanns det ingen takmodell, vilket gjorde det svårare att få höjden exakt.
It has become more popular to create 3D models among local governments and companies today. Now it´s possible to visualize most objects in 3D, which can give an increased understanding. The local government in Lidköping wants to be able to use their LiDAR data to visualize buildings and to combine several data layers with 3D visualizations to create useful web map services. At the present, there is no software that are able create 3D models of LiDAR data at the Local government. The local government in Lidköping is interested in testing different options for modelling in 3D. Two software packages were chosen; ArcGIS Pro and QGIS. ArcGIS Pro is a GIS software that is highly acknowledged in the market. It´s licensed and can be considered expensive. QGIS is a software that is completely free to use and uses open source code, which makes it possible to create algorithms that can then be used in the program. In this view, there will be comparison between a software that is expensive and a software that is completely free. The method used to compare the two software consists of three stages. Stage 1 is a software comparison, where the software capabilities are set against each other in different scenarios. Stage 2 is an investigation of positional accuracy where the coordinates of the 3D model's building corners are compared with coordinates measured with Total Station as reference. RMSE is used to compare positional accuracy. Stage 3 is a visualization analysis that takes place through a questionnaire answered by people who are familiar with GIS and 3D. The result of all three stages, according to the method performed, shows that ArcGIS Pro is the better software. At stage 1, ArcGIS Pro won five out of eight scenarios against QGIS, though QGIS was more time efficient than ArcGIS Pro. At stage 2, ArcGIS Pro had a RMSE value for height of 1,617, which is lower than the 1,961 RMSE value that was on QGIS. At stage 3, ArcGIS Pro had over 90% of the reply rate for most of the questions, representing that ArcGIS Pro’s images were better to visualize the different scenarios. Some comparisons were not completely even though. QGIS had better time accuracy because it did not get as much errors which needed further investigations as in ArcGIS Pro. Although ArcGIS Pro’s processes for creating 3D models were faster. The positional accuracy comparison for the building’s height shows higher accuracy between ArcGIS Pro and the Total Station’s measurements. In QGIS the 3D-modell had no roof model, which made it harder to get accurate height of the building.
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Forsner, Tim. "Utvärdering av metoder för att extrahera byggnader från laserdata : En jämförelse och kvalitetskontroll av byggnadsytor i FME och ArcGIS Pro." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-68452.

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In recent times the demand of high resolution 3D data has seen a rise, and the applications of airborne LiDAR data are increasing. Automatic extraction of building roofs is important in many of these applications such as city modelling. In 2018, Lantmäteriet (the Swedish mapping, cadastral and land registration authority) is planning a new flight to collect airborne LiDAR data. This data may become useful in extracting roof planes. The purpose of this thesis is to evaluate automatic methods for extracting buildings from airborne LiDAR data, and to perform a quality assessment of the footprints.This thesis proposes specific methods of extraction in using software called ArcGIS Pro and FME. The method was to process raw LiDAR points by separating the ground points, and finding building points through plane detection of points in clusters. Vegetation was removed using height difference of the points and the area. Polygons were created from the building points and a quality assessment was then carried out concerning completeness, accuracy and RMSE. The result on four different data sets shows a more appropriate extraction in FME. Lower point density sometimes leads to better extraction of buildings because of less vegetation. Higher point density has the advantage of higher accuracy and can extract smaller buildings, but includes more vegetation. The proposed method is recommended for larger buildings (>25 m2) and a LiDAR point density around 12 points/m2.
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Čička, Peter. "Využití programových prostředků GIS a CAD pro tvorbu digitálního modelu terénu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-227119.

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Master thesis is focused on formation of digital terrain model. The aim of work is to become acquainted with a dilemma in regard to terrain formation theory from the very beginning of data gathering process up to landscape digital model creation of interested area. The result of thesis is to compare advantages and disadvantages of particular programs destined for 3D modelling (ArcGIS, AutoCAD, Atlas DMT, Microstation, Catia, SolidWorks) in relation to geodetics and geoinformatics.
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Books on the topic "ArcGIS Pro"

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Cicero, Marcus Tullius. Pro Archia poeta: Verteidigung für den Dichter Archias. Berlin: Hybris, 2010.

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Cicero, Marcus Tullius. Pro Archia poeta oratio. Wauconda, Ill: Bolchazy-Carducci Publishers, 1998.

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Cicero, Marcus Tullius. Pro Archia poeta: Oratio. 3rd ed. Mundelein, Illinois, USA: Bolchazy-Carducci Publishers, Inc., 2014.

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Cicero, Marcus Tullius. Pro A. Licinio Archia poeta oratio. Stuttgart: Reclam, 2006.

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Cicero, Marcus Tullius. M. Tulli Ciceronis scripta quae manserunt omnia, Fasc 19, Oratio pro P. Sulla. Oratio pro Archia poeta. Edited by Helmut Kasten and Peter Reis. Berlin, Boston: DE GRUYTER, 1993. http://dx.doi.org/10.1515/9783110964738.

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Paleček, Pavel. Ministr Hubert Ripka a jeho osobní archiv: Inventář osobního fondu : dokumenty. Brno: Prius, 2000.

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Cerutti, Steven M. Cicero: Pro archia poeta oratio : a structural analysis of the speech and companion to the commentary. Wauconda, Ill: Bolchazy-Carducci Publishers, 1999.

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Coşkun, Altay. Cicero und das römische Bürgerrecht: Die Verteidigung des Dichters Archias : Einleitung, Text, Übersetzung und historisch-philologische Kommentierungen. Göttingen: Edition Ruprecht, 2010.

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Ústav pro kulturně výchovnou činnost (Prague, Czechoslovakia). Filmový archiv. Katalog filmů Filmového archivu Ústavu pro kulturně výchovnou činnost v Praze. Praha: Ústav pro kulturně výchovnou činnost, 1987.

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B, Kim L., and Kaznacheev V. P, eds. Kislorodnyĭ rezhim pri adaptat͡sii cheloveka na Kraĭnem Severe. Novosibirsk: Izd-vo "Nauka," Sibirskoe otd-nie, 1987.

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Book chapters on the topic "ArcGIS Pro"

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Eroğlu, Uğurcan, and Giuseppe Ruta. "Vibration of Pre-Loaded Shallow Circular Arches." In Nonlinear Dynamics of Structures, Systems and Devices, 237–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34713-0_24.

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Yeasmin, Nafisa, and Timo Koivurova. "The pre-determinants of establishing immigrant women entrepreneurship in Lapland." In The Future of the Arctic Human Population, 57–72. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003185024-8.

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Ribeiro, Leticia Cristina, Danilo Fernandes de Medeiros, Giuliano Sant’Anna Marotta, and Rejane Ennes Cicerelli. "COMPARAÇÃO ENTRE OS INTERPOLADORES DO ARCGIS -PRO PARA DADOS GRAVIMÉTRICOS." In Geociências: A história da terra, 109–15. Atena Editora, 2021. http://dx.doi.org/10.22533/at.ed.2032101069.

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Cicero], Cicero [Marcus Tullius. "Pro Archia ('For Archias')." In Oxford World's Classics: Cicero: Defence Speeches, edited by D. H. Berry, 107. Oxford University Press, 2008. http://dx.doi.org/10.1093/oseo/instance.00164009.

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Withun, David. "American Archias." In Co-workers in the Kingdom of Culture, 43–77. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197579589.003.0003.

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Among the numerous classical influences in the works of W. E. B. Du Bois, the influence of Cicero’s Pro Archia Poeta on The Souls of Black Folk is one of the most important. This chapter examines the influence of Cicero’s ancient defense of the poet Archias on the structure of Du Bois’s argument in defense of full civil rights and access to liberal education for African Americans. This chapter also discusses the classical inflection of other works by Du Bois, examining the classical allusions and foundations in his works of history, sociology, biography, and fiction. Particular attention is given to Du Bois’s attempts in each of these fields to write the story of African American history in the form of an epic, culminating with his final series of novels, The Black Flame Trilogy.
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Berry, D. H. "Literature and Persuasion in Cicero’s Pro Archia." In Cicero the Advocate, 291–312. Oxford University Press, 2004. http://dx.doi.org/10.1093/acprof:oso/9780198152804.003.0013.

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Potter, Russell A. "Fact and Fiction in ‘Northerns’ and Early ‘Arctic’ Films." In Films on Ice. Edinburgh University Press, 2015. http://dx.doi.org/10.3366/edinburgh/9780748694174.003.0009.

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This chapter discusses the very first Arctic-set films, including the Danish Polar Bear Hunt (1906) for Nordisk, and situates burgeoning American feature film production as a continuum of pre-cinematic practices that presented the unknown Arctic, and its populations, through staged and recognisably fictional sets and exhibition modes. As these practices developed into narrative French and Hollywood silent cinema by Méliès Porter, the malleability of the Arctic region continued to be made evident through location substitution. Potter examines the early productions of companies such as Selig Polyscope and Pathé to trace the ways in which the Arctic ‘Northern’ became a staple of early cinema, and the way in which these early films blended fact and fiction. He furthermore addresses the production and early circulation of the Nell Shipman films Back to God’s Country (1919) and God’s Country and the Woman (1916), based on the writings of James Oliver Curwood.
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Dugan, John. "Epideixis, Textuality, and Self-Fashioning in the Pro Archia and In Pisonem." In Making a New Man, 21–74. Oxford University Press, 2005. http://dx.doi.org/10.1093/acprof:oso/9780199267804.003.0002.

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Morganti, Bianca Fanelli. "A leitura petrarquista do Pro Archia de Cícero e a defesa da poesia." In Cícero: obra e recepção, 151–79. Imprensa da Universidade de Coimbra, 2019. http://dx.doi.org/10.14195/978-989-26-1671-1_6.

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Heubner, Friederike. "Agitatorische Redundanz als Mittel der politischen Argumentation in Ciceros Rede Pro Archia Poeta." In Klio Band 67, Heft 2, 486–91. De Gruyter, 1985. http://dx.doi.org/10.1515/9783112534243-009.

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Conference papers on the topic "ArcGIS Pro"

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Kukuliac, Pavel, and Jiri Horak. "Analýza nezaměstnanosti pomocí Insights for ArcGIS." In GIS Ostrava 2020 - Prostorová data pro Smart City a Smart Region. VŠB - TU Ostrava, 2020. http://dx.doi.org/10.31490/9788024843988-14.

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Eungard, Daniel. "PRODUCING TSUNAMI SIMULATIONS WITH ARCGIS PRO AND ADOBE CREATIVE SUITE." In GSA Connects 2021 in Portland, Oregon. Geological Society of America, 2021. http://dx.doi.org/10.1130/abs/2021am-370944.

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Foley, Daniel J. "INCREASING GEOSPATIAL LITERACY IN GEOSCIENCE EDUCATION WITH INTEGRATED ARCGIS PRO MODULES." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-337102.

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Song, Ping, Guangtong Sun, and Xiaoyang Liu. "Research on 3D campus integrated management based on ArcGIS Pro and CityEngine." In EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3501409.3501475.

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Whitmeyer, Shelley, Yonathan Admassu, John T. Haynes, Margaret E. McMillan, and Eric J. Pyle. "USING ARCGIS PRO TO PROVIDE GEOSPATIAL DATA TO STUDENTS IN A CAPSTONE COURSE." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-356774.

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Rai, N., and P. Flores. "Leveraging transfer learning in ArcGIS Pro to detect �doubles� in a sunflower field." In 2021 ASABE Annual International Virtual Meeting, July 12-16, 2021. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2021. http://dx.doi.org/10.13031/aim.202100742.

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Shami, Malek, Nazrul I. Khandaker, Stanley Schleifer, Zarine Ali, Leonardo Sanchez, Gugu Ginindza, and Tyn Tyn Nai. "UTILIZING DPLOT, SEDLOG, AND ARCGIS PRO TO ENHANCE GEOLOGIC FIELD SKILLS: ROSENDALE, UP-STATE NEW YORK." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-335987.

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Streikus, Eugenijus, and Eimuntas Kazimieras Paršeliūnas. "3D PASTATŲ MODELIAVIMAS NAUDOJANT LIDAR DUOMENIS IR GIS TECHNOLOGIJAS." In Conference for Junior Researchers „Science – Future of Lithuania“. VGTU Technika, 2018. http://dx.doi.org/10.3846/geo.2018.012.

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LiDAR (light detection and ranging) – tai nuolat populiarėjantis duomenų apie žemės paviršių surinkimo būdas naudojant orlaivyje sumontuotą lazerį. Pagrindiniai šio metodo privalumas – greitas 3D duomenų surinkimas dideliame plote. Užfiksuotus 3D duomenis galima panaudoti topografinę išraišką turinčių savybių objektams atpažinti, analizuoti ar atvaizduoti trimačiame žemėlapyje. 3D pastatams sukurti panaudoti 2007 m. LiDAR skenavimo duomenys, pirminis duomenų apdorojimas atliktas LAStools (rapidlasso GmbH), galutiniai 3D pastatų modeliai sukurti naudojantis ESRI kompanijos produktais – ArcGIS Pro ir CityEngine.
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Giedraitytė, Akvilė, and Arminas Stanionis. "URKIO EŽERO TYRIMAS NAUDOJANT SENTINEL-2 VAIZDUS." In 23rd Conference for Junior Researchers „Civilinė inžinerija ir geodezija“. Vilnius Gediminas Technical University, 2020. http://dx.doi.org/10.3846/geo.2020.002.

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Didėjantis Lietuvos gyventojų susidomėjimas gamtos būkle ir kylantis aplinkosaugos poreikis natūraliai siejamas su didžiausiu Lietuvoje esančiu parku – Labanoro regioniniu parku. Šis parkas 2004 m. gegužės 7 dieną buvo įtrauktas į Pasaulio gamtos fondą (angl. Global Nature Fund), siekiantį išsaugoti gyvūnų pasaulį, jų buveines ir migracijos maršrutus. Labanoro regioninį parką sudaro daugiau nei 70 ežerų, 80 proc. parko ploto užima miškų masyvai. Tyrimui pasirinktas mažiausiai ištyrinėtas, telmologinio draustinio teritorijoje esantis Urkio ežeras. Jame draudžiama plaukioti ir laisvai vaikščioti po jį supančią pelkę. Naudotos dviejų laikotarpių (2015 ir 2019 m.) Sentinel-2 palydovinės nuotraukos. Vaizdai apdoroti ArcGIS Pro programine įranga, įvertintas augalų vegetacinis indeksas (NDVI), atliktas rastrų klasifikavimas, palygintas rankiniu ir automatiniu būdu sukurtas ežero kontūras, nustatyta aktuali Urkio ežero vandens linija, atlikta Urkio pelkės analizė ir apskaičiuotas Urkio ežero kaitos greitis.
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Kacare, Marika, Ieva Pakere, and Armands Grāvelsiņš. "THE COUPLING OF THE SYSTEM DYNAMICS MODEL WITH GIS TO VISUALISE THE POTENTIAL OF RENEWABLE ENERGY." In 24-oji jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija APLINKOS APSAUGOS INŽINERIJA. Vilniaus Gedimino Technikos Universitetas, 2020. http://dx.doi.org/10.3846/aainz.2021.12.

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During the current economic growth and the global climate crisis, energy supply is a pressing concern. Local energy sources are an essential part of sustainable development, and they also provide workplaces and energy independence. Various biding legislative documents oblige prioritising renewable energy sources (RES) and focus on green, local energy. Society cannot do such a transition without estimating the available resources and understanding the links among various factors influencing the energy market. The study aims to visualise system dynamics (SD) model parameters using the interactive cartography tool to analyse the potential of renewable energy in Latvia. Data gaps in the model were filled using statistical estimations and ArcGIS Pro spatial analysis. A JavaScript library for interactive maps Leaflet and HTML were used for the graphic user interface. The coupling presented in this paper is not dynamic but provides an insight into the potential implementation of the spatial data into models.
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Reports on the topic "ArcGIS Pro"

1

Saltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42240.

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Monitoring water quality of small inland lakes and reservoirs is a critical component of USACE water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs that cover vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al. 2017; Beck et al. 2019; Johansen et al. 2019; Mishra et al. 2019; Stumpf and Tomlinson 2007; Wang et al. 2020; Xu et al. 2019; Reif 2011). To assist USACE water quality management, we developed an ESRI ArcGIS Pro desktop software toolbox (waterquality for ArcGIS Pro) that was founded on the design and research established in the waterquality R software package (Johansen et al. 2019; Johansen 2020). The toolbox enables the detection, monitoring, and quantification of HAB indicators (chlorophyll-a, phycocyanin, and turbidity) using Sentinel-2 satellite imagery. Four tools are available 1) to automate the download of Sentinel-2 Level-2A imagery, 2) to create stacked image with options for cloud and non-water features masks, 3) to apply water quality algorithms to generate relative estimations of one to three water quality parameters (chlorophyll-a, phycocyanin, and turbidity), and 4) to create linear regression graphs and statistics comparing in situ data (from field-based water sampling) to relative estimation data. This document serves as a user's guide for the waterquality for ArcGIS Pro toolbox and includes instructions on toolbox installation and descriptions of each tool's inputs, outputs, and troubleshooting guidance.
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Lasko, Kristofer, and Sean Griffin. Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40262.

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Monitoring the impacts of ecosystem restoration strategies requires both short-term and long-term land surface monitoring. The combined use of unmanned aerial systems (UAS) and satellite imagery enable effective landscape and natural resource management. However, processing, analyzing, and creating derivative imagery products can be time consuming, manually intensive, and cost prohibitive. In order to provide fast, accurate, and standardized UAS and satellite imagery processing, we have developed a suite of easy-to-use tools integrated into the graphical user interface (GUI) of ArcMap and ArcGIS Pro as well as open-source solutions using NodeOpenDroneMap. We built the Monitoring Ecological Restoration with Imagery Tools (MERIT) using Python and leveraging third-party libraries and open-source software capabilities typically unavailable within ArcGIS. MERIT will save US Army Corps of Engineers (USACE) districts significant time in data acquisition, processing, and analysis by allowing a user to move from image acquisition and preprocessing to a final output for decision-making with one application. Although we designed MERIT for use in wetlands research, many tools have regional or global relevancy for a variety of environmental monitoring initiatives.
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Lasko, Kristofer, and Elena Sava. Semi-automated land cover mapping using an ensemble of support vector machines with moderate resolution imagery integrated into a custom decision support tool. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42402.

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Land cover type is a fundamental remote sensing-derived variable for terrain analysis and environmental mapping applications. The currently available products are produced only for a single season or a specific year. Some of these products have a coarse resolution and quickly become outdated, as land cover type can undergo significant change over a short time period. In order to enable on-demand generation of timely and accurate land cover type products, we developed a sensor-agnostic framework leveraging pre-trained machine learning models. We also generated land cover models for Sentinel-2 (20m) and Landsat 8 imagery (30m) using either a single date of imagery or two dates of imagery for mapping land cover type. The two-date model includes 11 land cover type classes, whereas the single-date model contains 6 classes. The models’ overall accuracies were 84% (Sentinel-2 single date), 82% (Sentinel-2 two date), and 86% (Landsat 8 two date) across the continental United States. The three different models were built into an ArcGIS Pro Python toolbox to enable a semi-automated workflow for end users to generate their own land cover type maps on demand. The toolboxes were built using parallel processing and image-splitting techniques to enable faster computation and for use on less-powerful machines.
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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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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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Bolzico, Javier, and Joan Oriol Prats Cabrera. Abierta configuration options Programas de moratoria de créditos bancarios en tiempos de COVID-19 en América Latina y el Caribe. Inter-American Development Bank, April 2022. http://dx.doi.org/10.18235/0004192.

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América Latina y el Caribe (ALC) fue una de las regiones más castigadas por la pandemia de COVID-19. A fin de mitigar los efectos de la pandemia, los gobiernos han utilizado principalmente dos instrumentos con el objetivo de facilitar el acceso de empresas y personas a la financiación bancaria: esquemas de garantías estatales y programas de moratorias o refinanciación de deudas bancarias. Los programas de moratoria y reestructuración crediticia se concibieron como una forma de alivio crediticio transitorio para empresas y familias. Estos programas se basaron principalmente en la excepción regulatoria sobre clasificación y aprovisionamiento de deudores, por lo que se aprobaron normas que permitían extender los plazos de pagos o reprogramar deudas, sin que ello tuviera impacto en la clasificación crediticia del cliente ni en el aprovisionamiento de la cartera. A diferencia de los esquemas de garantías estatales, los programas de moratoria implicaron un esfuerzo para los bancos, pero no tuvieron consecuencias directas para las arcas de los fiscos. Esta publicación presenta el análisis y conclusiones de un estudio sobre programas de moratoria y reprogramación crediticia en tiempos de COVID-19 en ALC. Se presentan aspectos generales de los programas de moratoria crediticia implementados y se analizan el contexto previo a su implementación, sus principales características generales y sus principales resultados e impacto potencial. Asimismo, se estudian los aspectos relevantes identificados y se identifican buenas prácticas para el diseño e implementación de programas de moratoria de créditos.
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Trettin, H. P. Pre-carboniferous geology of the northern part of the Arctic islands, Hazen Fold Belt and adjacent parts of central Ellesmere Fold Belt, Ellesmere Island. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194326.

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Trettin, H. P. Pre-Carboniferous geology of the northern part of the Arctic Islands: Northern Heiberg Fold Belt, Clements Markham Fold Belt, and Pearya; northern Axel Heiberg and Ellesmere islands. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/209572.

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