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Youtube. ArthurRuf/3dcitybuilder: Generate 3D Models of Urban Areas. QGIS Style Sharing Repository - GIS Lounge. A new tool has been deployed that lets QGIS users share style files.

QGIS Style Sharing Repository - GIS Lounge

Style files are used in QGIS to set cartographic visualizations for individual layers. Features such as symbology, fonts, a color ramps can be set via a style file. Users can access the various styles they have in their instance of QGIS by selecting Setting –> Style Manager from the top menu options. In the Style Manager, users can access style settings for a symbology point, line, and polygon features as well as color ramps.

To help facilitate the sharing of styles among users, Kartoza has sponsored the development of a new QGIS style sharing repository. Users can upload their custom color ramps and symbology by submitting a style .xml file, thumbnail, and description of the style. Downloaded styles are easy to import into QGIS. Earth Engine Data Catalog   Google Earth Engine User Summit 2018 Presentations - GIS Lounge. Google Earth Engine. Google Earth Engine Applications. Atlas Histórico Mundial y Cronologías. CURSO BÁSICO DE QGIS 2020. Clase N° 4. Simbología y Etiquetado.

Self-Guided QGIS Courses - GIS Lounge. GIS User Conference, Seminar & Event Videos. Tutorial: Introduction to Geospatial Analysis in R - GIS Lounge. If you missed the recently webinar entitled “Introduction to Geospatial Analysis in R” hosted by NASA and the Oak Ridge National Laboratory (ORNL) , you can catch the video and access the associated documents.

Tutorial: Introduction to Geospatial Analysis in R - GIS Lounge

Presented by Dr. Alison Boyer and Dr. Rivers as Borders: GIS Dataset Available For Downloading - GIS Lounge. Earlier this spring, Laurence Smith, professor of Earth, Environmental and Planetary Sciences at Brown University, released his latest work, “Rivers of Power: How a Natural Force Raised Kingdoms, Destroyed Civilizations, and Shapes Our World.”

Rivers as Borders: GIS Dataset Available For Downloading - GIS Lounge

The book is a scientific dive into how rivers shape the surface of our planet and of their roles in human history. Hydrology has long been a focal point of Smith’s research. His previous book (published in 2010), “The World in 2050” looked, in part, at how the climate change in the Arctic would open up shipping lanes previously impassable due to ice. Los logros e hitos más notables del sector geoespacial en los últimos 20 años.

Entrada actualizada el 18 de junio de 2020 con hitos desde 1982 hasta el año 2020 El lanzamiento de la edición 72 de la revista MundoGEO (edición especial de cumpleaños) nos trae, entre otras cuestiones, una línea de tiempo con los logros más notables del sector geoespacial en el período 1998-2013.

Los logros e hitos más notables del sector geoespacial en los últimos 20 años

Breaking Down Geocoding in R: A Complete Guide.

Remote Sensing

Humanistic GIS Laboratory – Leverage GIS with Humanism. Global Refugee Atlas. The Global Refugee Atlas visualizes and narrates core experiences of the millions of refugees under the United Nations High Commissioner for Refugees (UNHCR) mandate using remote sensing data, crowdsourced social media data as well as a host of datasets from UNHCR and other international humanitarian agencies.

Global Refugee Atlas

Exploiting the availability of these datasets, the Atlas is built on an open geo-narrative platform to illuminate the contexts and conditions underlying refugee journeys and camps. About The Atlas is divided in five chapters that explore different aspects of the refugee experience, from the causes that generate international crises to the perception of social media users throghout the world.

Refugee experiences are highlighted through the use of geo-narratives using as case studies two stories: refugees escaping the brutality of the Burundian civil war and Somali refugees trying to reach the Mediterranean shores (Journeys section). EpiRisk. Loading...


Welcome to EpiRisk EpiRisk is a computational platform designed to allow a quick estimate of the probability of exporting infected individuals from sites affected by a disease outbreak to other areas in the world through the airline transportation network and the daily commuting patters. It also lets the user to explore the effects of potential restrictions applied to airline traffic and commuting flows. International-Domestic spreading of 2019-nCoV-V4. Novel Coronavirus Infection Map. This online interactive map enables users to track both the global and local trends of Novel Coronavirus infection since Jan 21st, 2020.

Novel Coronavirus Infection Map

The supporting dataset is timely collected from multiple official sources and then plotted onto this map. Data Sources The data are mainly collected from 1. National Health Commission (NHC) of the People’s Republic of China 2. China’s Provincial & Municipal Health Commission, China’s Provincial & Municipal government database 3. Diferencias entre técnico GIS, analista GIS y consultor GIS. Si para un profesional que trabaja con SIG en ocasiones es difícil explicar a un profano a qué nos dedicamos, quizá más complicado es establecer una categoría a nuestros conocimientos.

Diferencias entre técnico GIS, analista GIS y consultor GIS

New Course: QField Quickstart - Geospatial Brainstorming. QField is an open-source Android based mobile data collection and/or viewing application that is tightly integrated with QGIS.

New Course: QField Quickstart - Geospatial Brainstorming

QGIS is used to set up the project using standard QGIS tools. If the layers in your project are stored in a PostGIS database and a mobile data connection is available then changes made in QField are made directly to your database and visible in real-time to anyone that has a client to your database. This, in my view, is the mobile data collection killer app.

EarthPy: Python Package for Plotting and Working with Spatial Data. A Python language spatial package, called EarthPy, has been released for free download for spatial analysts and scientists interested in conducting various forms of analyses without necessarily having a lot of background knowledge on Python or spatial analysis.

EarthPy: Python Package for Plotting and Working with Spatial Data

EarthPy was initially created by and for Earth system science with a heavy emphasis on raster data. However, the tool has now also incorporated vector-based and spatial methods that allow it to be extended into other application areas. Increasingly, users want to plot and execute common GIS tasks in open source software that can also be decoupled with given tools so that it can be applied across other tools, sometimes tools that have no or limited spatial functionality. This allows researchers to more easily leverage and create their own applications, while users may not want to be burdened with having to learn yet another toolkit or language. Free Online Geocoder. Developed by LocalFocus, this online geocoder will generate lat/long coordinates for a list of addresses for free. Listed as a “Batch geocoder for journalists” this online geocoder can be used by anyone needing to convert a list of locations to latitude and longitude coordinates.

The online geocoder is built using open GIS data from OpenStreetMap, OpenAdressess, and Who’s on first. Pelias, an open-source geocoder, is used to generate the lat/long coordinates from addresses. To use the geocoder, simply copy and paste a list of locations in the designated box. If the locations for a specific country, select it from the list, otherwise leave it at the “worldwide” default. A running status will show how many of the results have been geocoded, and a color-coded status will indicate the confidence for each geocoded location.

GISCI > Home. GIS&T Body of Knowledge.  Food and Agriculture Organization of the United Nations. Agriculture, globally provides direct livelihoods for 2.5 billion people and feeds the entire planet. It must, by 2050, produce 49 percent more food than in 2012 as populations grow and diets change. Yet climate change, biodiversity loss, land degradation, water scarcity, pollution and many other challenges are hampering these efforts to feed the planet. The undertaking under the 2030 Sustainable Development Agenda is for everyone to address these issues; it is clear however that no meaningful and effective action can be taken without sound and timely data to inform and guide decision makers. Tutorial Quantum GIS. World Bank and Geospatial Data. Economies increasingly depend on geospatial data to power knowledge on everything from behavior of consumers to monitoring agriculture and anticipating potential environmental threats. While this is the case for developed countries, in the developing world many countries need assistance to help energize economic growth using geospatial data.

Since 2010, the World Bank has increasingly focused on providing open data, including open geospatial data; however, only recently have they focused on a more robust and developed framework in which countries could more directly benefit.[1] The World Bank in August 2018 launched the Integrated Geospatial Information Framework, which is seen as a way for GIS data to be provided for governments, NGOs, and companies to make more informed decisions that not only benefit their economies but also enable sustainable development.

UNSD — UN-GGIM. John Snow's data journalism: the cholera map that changed the world. How often does a map change the world? In 1854, one produced by Doctor John Snow, altered it forever. In the world of the 1850s, cholera was believed to be spread by miasma in the air, germs were not yet understood and the sudden and serious outbreak of cholera in London's Soho was a mystery. So Snow did something data journalists often do now: he mapped the cases. Updated Snow GIS data « Robin's Blog. September 25, 2012 A while back I released a GIS dataset containing Snow’s Cholera analysis data in modern GIS formats, and georeferenced to the British National Grid (see my previous post).

Unfortunately, there was an error in some of the attributes of the Cholera Deaths shapefile which caused issues when using the data. This error has now been fixed, and the updated data are available to download here: The link on the previous post has also been updated. Please accept my apologies for this error. Free GIS Datasets - Categorised List. PredictionX: John Snow and the Cholera Epidemic of 1854. In 1854, a cholera epidemic swept through the London neighborhood of Soho. In the course of about three weeks, over 600 people died.

This incident was, tragically, not unusual in London or the rest of the 19th century world as a whole. The scourge of cholera seemed unstoppable and, even worse, unpredictable. But one doctor -- ignored by the scientific community at large -- set out to prove that he knew how cholera was spread. Join us for this one-week, immersive learning experience. How to Change the Projection of a Shapefile Using QGIS. All geographic data is tied to some projection or coordinate system. If you know the starting coordinate system or projection of your shapefile, you can quickly export the data into another coordinate or projections system using QGIS. Geospatial Revolution Project Explored. FOSS4G Academy Curriculum. Learn GIS for Free. How Redlining Communities Affects Health - GeoLounge: All Things Geography.

Case Study: How Brindisi, Italy is Using GIS to Help Preserve its Ancient Architecture. R Packages for Spatial Analysis. A Case Study on Converting a Geodatabase From ArcGIS for Use in QGIS. In a world of ever increasing cyber threats and complications, on occasion, the need arises to take digital mapping away from a cloud environment. The cloud environment is a great solution for solving large digital mapping problems. Mapping Migration Based on Search Data. Immigration to countries, including legal and illegal migrants, are generally not easy to predicted. In fact, standard models have been criticized as being too general or not useful. There are alternative approaches, however, which include using online searches that can be georeferenced. The presumption is that migrants may conduct online searches as they prepare to leave their country of origin.

Spatial Data Science with R — R Spatial. Descarga gratis más de 90,000 increíbles mapas históricos. R Packages for Spatial Analysis. Free Ways to Learn QGIS. Geographic Information Systems Technician. Uclaextension. Qgis shapefile edition. Missed the Latest QGIS User Conference? Access the Videos Online. PyQGIS 101: Hello world! Free ePDF: Mapping Society: The Spatial Dimensions of Social Cartography - GeoLounge: All Things Geography. World-Historical Gazetteer – A project of the World History Center at the University of Pittsburgh. Geographically weighted regression. FAO Uses GIS to Protect Agricultural Economy of Vulnerable Countries. QGIS Academy.

Public participatory historical GIS: Historical Methods: A Journal of Quantitative and Interdisciplinary History: Vol 0, No 0. Online Course - Introduction to GIS in R. Regression Analysis for Spatial Data (Boulder, CO) An Introduction to Spatial Econometrics in R. An Introduction to Spatial Econometrics. Sbook. Spatial Econometrics. Free Urban Planning GIS Exercises – GIS Lounge. PyQGIS 101: Introduction to QGIS Python programming for non-programmers.

Creating Dynamic Maps in QGIS Using Python: QGIS Python Programming CookBook. GIS and Digital Humanities. Inicio. Program - New Maps Plus. Geographic Information Systems certificate. GIS and Geospatial Technology. TNM Download. TopoView. Historical Maps at Your Fingertips. Geography of Suicide: A Look at the CDC's Recent Report - GeoLounge: All Things Geography. Introduction to QGIS Python Programming. Creating Dynamic Maps in QGIS Using Python: QGIS Python Programming CookBook. FOSS4G Academy Curriculum. The National Map: Historical Topographic Map Collection. Overview - Maps. Google Earth Engine. Geography and GeoInformation Science – Graduate Certificate in Geospatial Intelligence. Collegiate Accreditation - USGIF. La importancia de usar R en GIS. Two Centuries of US Immigration Visualized. Bill's quick guide to maps and GIS data online. After the Map. Regression analysis of spatial data - Beale - 2010 - Ecology Letters.

EarthTime. CGA Web Maps. DARMC 1.3.1. HDV - Historical Data Visualization. Harvard CGA. Aerial Photography. USGS Land Remote Sensing Program (LRS) Landsat Missions. EarthExplorer. Loxodromía y ortodromía: cómo moverse por el mundo - Geografía Infinita.