[Econometrician/economic data scientist needed] Extracting geospatial information and merging with economic data, in Python or R
€30-250 EUR
Dibayar semasa penghantaran
We need to extract geospatial information about the occurrence of natural disasters and merge this with regional GDP data, in Python or R. For that, we would need a function which is able to crop country borders from shapefiles in Python or R. We need to work with datasets such as the DFO, EFAS, GLOfas, EDO, GDO and EFFIS and we need a function that extracts information about a large number of countries in an efficient way (for instance, automatically deleting the files after the download to avoid using too much space). For the country borders we want to use the GADM 3.6 database (see [login to view URL]). The extracted geospatial data should then be merged to a regional macroeconomic dataset at the most granular level.
*** No scraping, no blockchain, no software development needed***
ID Projek: #35841767
Tentang projek
34 pekerja bebas membida secara purata €159 untuk pekerjaan ini
[Econometrician/economic data scientist needed] Extracting geospatial information and merging with economic data, in Python or R Good evening Lea M. , Hi I am a very experienced statistician, data scientist and academ Lagi
Hi there! I can help you complete this project by providing the following services: 1. Writing code in Python or R to crop country borders from shapefiles using the GADM 3.6 database. 2. Extracting t Lagi
I am working as a Developer, Programming Expert, Data Scientist and expert in ->Python, Tensor Flow Framework, C, C++, C#, VB, Visual Studio, Online Scrapping, ->Analysis and Modeling MATLAB, Predictive Modelling, St Lagi
Hi there, I have read your job description and I’m confident I can do this project for you perfectly. I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the pro Lagi
Hi there. I am a full stack developer with experience in Geospatial, Data Processing, Economics, Python and Econometrics. I have worked with many similar projects as i have a team of enthusiastic developers. We strive Lagi
Hi there, I am a full stack developer with 4+ years of experience in both front-end and back-end development. I have read your Extracting geospatial information and merging with economic data, in Python description ver Lagi
Hi, I have gone through your project briefing, I can assist you in this task on coding using Python or R programming language to extract geospatial information and merging with economic data including providing a detai Lagi
Hi, dear client, I have read your description, I am an associate degree professional in financial analysis, economics, statics management, and analysis Writing. I am an expert in economics analysis. I'm interested to Lagi
Hi I am an experienced ML Engineer focusing on deep learning into NLP, CV. I have completed several machine learning and deep learning projects involving advanced analytics solutions for clients acting as strong strate Lagi
Hello! I hope you are having an amazing day! I am exactly the guy you are looking for! I will deliver the project as per your requirements! Let’s get in message and discuss what are you waiting for!
Hello, I am interesting at merging with economic data after extract geospatial information. As you know my profile, i am python Expert. Specially, i am good at extract spatial data from shapefile. first of all, i will Lagi
Hi There, I am an expert python coder with skills including Data Processing, Economics, Python, Econometrics and Geospatial. Please contact me to discuss more about this project. Thanks
Hi, I have extensive experiences in Python, Econometrics, Data Processing, Geospatial and Economics. I understand what you need. I know what the difference between 99% and 100% is. I promise the perfect result. If you Lagi
❤️❤️❤️Senior Fullstack Developer❤️❤️❤️ Hi There Lea M., Good afternoon. Nice to meet you! I read your requirements several times and I understood what you want. I am a full-stack with skills including Econometrics, Da Lagi