Marco painho

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marco painho

He is the author and editor of over publications including books, boks chapters, papers and articles in national and international conference proceedings. Has coordinated over 80 research and develpment, consulting and international cooperation projects. Marco Painho. Publications Journal Article Acedo, A.

Place and city: toward urban intelligence. DOI: Coutinho, V. Ramos, T. Corporate Social Responsibility and Environmental Management, 25 1[advanced online publication on 27 july ]. Sustainability policies and practices in public sector organisations: The case of the Portuguese Central Public Administration.

Journal of Cleaner Production, The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal — Population Health Metrics: Advancing innovation in health measurement, 16 1Art. Place and city: Operationalizing sense of place and social capital in the urban context. Transactions in GIS, 21 3 Research Journal of Information Technology, 9: Beyond digital human body atlases: Segmenting an integrated 3d topological model of the human body.

Parasites Vectors, Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique.We use cookies to give you the best possible experience. By using our website you agree to our use of cookies. Dispatched from the UK in 3 business days When will my order arrive? Alias Abdul-Rahman.

Jukka M. Jamal Jokar Arsanjani. Arnold Bregt. Joaquin Huerta. Orhan Altan. Jurgen Doellner. Phaedon Kyriakidis. Georg Gartner. Antoni Moore. Markus Jobst. Monika Sester. Sara Fabrikant. Liping Di. Xiaojun Yang. Gerhard Navratil. Robert Joseph Peckham. Home Contact us Help Free delivery worldwide. Free delivery worldwide. Bestselling Series. Harry Potter. Popular Features. Home Learning. Those papers went through a th competitive review process.

The efficient use of geospatial information and related technologies assumes the knowledge of concepts that are fundamental components of Geospatial Thinking, which is built on reasoning processes, spatial conc- tualizations, and representation methods. Geospatial Thinking is associated with a set of cognitive skills consisting of several forms of knowledge and cognitive operators used to transform, combine or, in any other way, act on that same knowledge.

Product details Format Hardback pages Dimensions x x Other books in this series. Add to basket.To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser.

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So please proceed with care and consider checking the Twitter privacy policy. Authors: no matches. Venues: no matches. Publications: no matches. Trier 2 Dagstuhl. Roberto San Martin Tiago Oliveira Tiago H. Moreira de Oliveira. Ana-Maria Olteanu Raimond. Linda M.Those papers went through a th competitive review process. The efficient use of geospatial information and related technologies assumes the knowledge of concepts that are fundamental components of Geospatial Thinking, which is built on reasoning processes, spatial conc- tualizations, and representation methods.

Geospatial Thinking is associated with a set of cognitive skills consisting of several forms of knowledge and cognitive operators used to transform, combine or, in any other way, act on that same knowledge. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser.

A state-of-the-art overview of ongoing GIScience research Brings together insights and ideas in the field of GIS Covers a variety of research topics such as geospatial modelling and analysis, quality and semantics of geoinformation, spatial data infrastructures, and spatial decision support systems see more benefits.

Buy eBook. Buy Hardcover. Buy Softcover. FAQ Policy. Show all. Show next xx. Recommended for you. PAGE 1.View Scopus Profile. Prize : Prize including medals and awards. If you made any changes in Pure these will be visible here soon. He is author and editor of several publications over including books, chapters in books and articles. He has published in several national and international journals and conference proceedings. He is also called as external committee member to Master and Phd dissertation defences and habillitation committees at other institutions.

marco painho

Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon Perazzoni, F. Open Access. Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard Sakellariou, S. Spatio-Temporal Analysis.

Fire hazards. Data fusion. Institutional theory. Relative advantage. Diffusion of innovation theory. Ramos, I. Springer International Publishingp. Lecture Notes in Information Systems and Organisation; vol. Data visualization. Decision making.

Geospatial Thinking

Resource allocation.Most tipping services are based on anecdotal evidence and have a lack of reliable results to show for it. We use a data approach to back up our predictions with real insight and artificial intelligence.

Our results speak for themselves. We use deep neural networks to learn how likely a team is to win, by making sense of large and diverse data sources, God mode for your bettingData is at the forefront of our prediction strategy.

Every second of a sports game contains a potentially useful piece of data. We use itUtilising advanced machine learning and A. Every second of a sports game is analysed for any useful pieces of data for pinpoint accuracy. Combining the best data analysis with the best analysis, our team has over 10 years combined experience in sports bettingFostering an active community is paramount to us. Join our Discord and share predictions, talk tournaments or just share your winsWe are very selective about what sports markets we enter, what bookies to choose and most importantly how and when to bet.

Feel free to look aroundHomeBet Betterwith BetterBetsWe use deep learning to bring you the best data driven sportsbetting tips, so you can start making REAL money with the pros. GET STARTED SEE HOW IT WORKSData Driven BettingMost tipping services are based on anecdotal evidence and have a lack of reliable results to show for it. With game-by-game surprises, weekly power rankings continue to shift the on-field product. Welcome to Week 14 of the 2017 NFL season. With a new week, we get a few things: Fantasy football, cheering on your favorite team, and, of course, taking a peek at the spreads in order to make sure you're on the right side of every outcome.

ESTIf the Falcons want to make the playoffs, this feels like a must win.

If the Saints want to earn a first round bye, this feels like a must win. Finally, a really good Thursday Night Football game.

Marco Painho

On the short week, give me the home team to bounce back in the first of two late-season battles between these NFC South foes. We could be on the path to Jacoby Brissett vs. If you're in the viewing area, turn on the Red Zone. This is a big one--and a potential playoff matchup in January. After a road game last week, don't be shocked if the Vikings trip up.

Carolina's defense will make things difficult on Case Keenum and Cam Newton will win this one with his legs.

marco painho

The Bengals technically are still in the AFC playoff race. That'll last at least another week. My upset of the year: Cleveland gets a win.

As everyone waits for Aaron Rodgers to return, the Packers stumble on the road one week after an overtime game. Houston doesn't have many more opportunities for wins. This is one of them against a team in the midst of a back-to-back on the road. Expect a close one. I'm refusing to totally jump ship on the Chiefs. Andy Reid is too good of a coach to let this season slip away.

Alex Smith and Co.Creating a batch prediction is a process that can take just a few seconds or a few hours depending on the size of the dataset used as input and on the workload of BigML's systems.

Geospatial Thinking

The batch prediction goes through a number of states until its finished. Through the status field in the batch prediction you can determine when it has been fully processed. Once you delete a batch prediction, it is permanently deleted. If you try to delete a batch prediction a second time, or a batch prediction that does not exist, you will receive a "404 not found" response.

However, if you try to delete a batch prediction that is being used at the moment, then BigML. To list all the batch predictions, you can use the batchprediction base URL. By default, only the 20 most recent batch predictions will be returned. You can get your list of batch predictions directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your batch predictions.

Batch Centroids Last Updated: Monday, 2017-10-30 10:31 A batch centroid provides an easy way to compute a centroid for each instance in a dataset in only one request. Batch centroids are created asynchronously. You can also list all of your batch centroids. You can easily create a new batch centroid using curl as follows.

All the fields in the dataset Specifies the fields in the dataset to be considered to create the batch centroid. Example: "my new batch centroid" newline optional String,default is "LF" The new line character that you want to get as line break in the generated csv file: "LF", "CRLF".

For example, to create a new batch centroid named "my batch centroid", that will not include a header, and will only ouput the field "000001" together with the distance for each centroid. Once a batch centroid has been successfully created it will have the following properties. Creating a batch centroid is a process that can take just a few seconds or a few hours depending on the size of the dataset used as input and on the workload of BigML's systems. The batch centroid goes through a number of states until its finished.

Through the status field in the batch centroid you can determine when it has been fully processed. Once you delete a batch centroid, it is permanently deleted. If you try to delete a batch centroid a second time, or a batch centroid that does not exist, you will receive a "404 not found" response. However, if you try to delete a batch centroid that is being used at the moment, then BigML.

To list all the batch centroids, you can use the batchcentroid base URL. By default, only the 20 most recent batch centroids will be returned. You can get your list of batch centroids directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your batch centroids.

Batch Anomaly Scores Last Updated: Monday, 2017-10-30 10:31 A batch anomaly score provides an easy way to compute an anomaly score for each instance in a dataset in only one request. Batch anomaly scores are created asynchronously. You can also list all of your batch anomaly scores. You can easily create a new batch anomaly score using curl as follows.

Example: true importance optional Boolean,default is false Whether field importance scores are added as additional columns for each input field. All the fields in the dataset Specifies the fields in the dataset to be considered to create the batch anomaly score.

Example: "my new anomaly score" newline optional String,default is "LF" The new line character that you want to get as line break in the generated csv file: "LF", "CRLF". Example: "Anomaly Score" separator optional Char,default is "," The separator that you want to get between fields in the generated csv file. For example, to create a new batch anomaly score named "my batch anomaly score", that will not include a header, and will only output the field "000001" together with the score for each anomaly score.

Once a batch anomaly score has been successfully created it will have the following properties. Creating a batch anomaly score is a process that can take just a few seconds or a few hours depending on the size of the dataset used as input and on the workload of BigML's systems.


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