climada_python
CLIMADA is a free and open-source software framework for climate risk assessment and adaptation option appraisal.
파일 탐색기
최종 버전 다운로드 (.zip)- bug_report.md
- code-feature-request.md
- make_release.py
- prepare_release.py
- setup_devbranch.py
- setup_devbranch.sh
- ci.yml
- make-release.yml
- postrelease-setup-devbranch.yml
- pull-request.yml
- python-publish.yml
- test-install.yml
- CODEOWNERS
- pull_request_template.md
- climada.conf
- dresden.tif
- population-density_median.tif
- atl_prob_nonames.mat
- demo_emdat_impact_data_2020.csv
- demo_future_TEST.xlsx
- demo_today.xlsx
- exp_demo_today.h5
- fp_lothar_crop-test.nc
- fp_xynthia_crop-test.nc
- ibtracs_global_intp-None_1992230N11325.csv
- nl_rails.gpkg
- SC22000_VE__M1.grd.gz
- tc_fl_1990_2004.h5
- AUS_GSDP.xls
- BRA_GSDP.xls
- CAN_GSDP.xls
- CHE_GSDP.xls
- CHN_GSDP.xls
- DEU_GSDP.xls
- FRA_GSDP.xls
- IDN_GSDP.xls
- IND_GSDP.xls
- JPN_GSDP.xls
- MEX_GSDP.xls
- TUR_GSDP.xls
- USA_GSDP.xls
- ZAF_GSDP.xls
- entity_template.xlsx
- FAOSTAT_data_country_codes.csv
- GDP_TWN_IMF_WEO_data.csv
- GLB_NatID_grid_0360as_adv_2.mat
- hazard_template.xlsx
- NatEarth_Centroids_150as.hdf5
- NatEarth_Centroids_360as.hdf5
- NatID_grid_0150as.nc
- NatRegIDs.csv
- rcp_db.xls
- tc_impf_cal_v01_EDR.csv
- tc_impf_cal_v01_RMSF.csv
- tc_impf_cal_v01_TDR1.0.csv
- tc_impf_cal_v01_TDR1.5.csv
- WEALTH2GDP_factors_CRI_2016.csv
- emdat_testdata_BGD_USA_1970-2017.csv
- emdat_testdata_fake_2007-2011.csv
- flood_imp_func_set.xls
- __init__.py
- test_cost_benefit.py
- test_forecast.py
- test_impact.py
- test_impact_calc.py
- test_impact_data.py
- __init__.py
- test_unsequa.py
- __init__.py
- calc_base.py
- calc_cost_benefit.py
- calc_delta_climate.py
- calc_impact.py
- input_var.py
- unc_output.py
- __init__.py
- calibration_opt.py
- cost_benefit.py
- forecast.py
- impact.py
- impact_calc.py
- impact_data.py
- .gitignore
- __init__.py
- test_base.py
- __init__.py
- base.py
- __init__.py
- gpw_population.py
- litpop.py
- nightlight.py
- .gitignore
- demo_today.mat
- __init__.py
- test_base.py
- test_litpop.py
- test_mat.py
- test_nightlight.py
- __init__.py
- base.py
- __init__.py
- test_base.py
- test_imp_fun_set.py
- test_tc.py
- test_ws.py
- __init__.py
- base.py
- impact_func_set.py
- storm_europe.py
- trop_cyclone.py
- .gitignore
- __init__.py
- test_base.py
- test_meas_set.py
- __init__.py
- base.py
- measure_set.py
- test_tag.py
- __init__.py
- tag.py
- __init__.py
- test_entity.py
- __init__.py
- entity_def.py
- .gitignore
- __init__.py
- test_centr.py
- __init__.py
- centr.py
- 1980052S16155.nc
- 2018079S09162.nc
- 1988021S12080.nc
- 1988021S12080_gen2.nc
- 1997018S11059.nc
- 1997018S11059_gen3.nc
- centr_brb_test.mat
- chaz_test_tracks.nc
- emanuel_test_tracks.mat
- FAST_test_tracks.nc
- fp_centroids-test.xls
- gettelman_test_tracks.nc
- storm_europe_cosmoe_forecast_vmax_testfile.nc
- storm_test_tracks.txt
- tctracks_hdf5_legacy.nc
- temp_mpircp85cal_full.mat
- test_storm_europe_icon_grid.nc
- trac_brb_test.csv
- trac_short_test.csv
- __init__.py
- test_base.py
- test_io.py
- test_storm_europe.py
- test_tc_cc.py
- test_tc_tracks.py
- test_tc_tracks_synth.py
- test_trop_cyclone.py
- test_trop_cyclone_windfields.py
- test_xarray.py
- __init__.py
- trop_cyclone.py
- trop_cyclone_windfields.py
- __init__.py
- base.py
- io.py
- isimip_data.py
- plot.py
- storm_europe.py
- tc_clim_change.py
- tc_tracks.py
- tc_tracks_synth.py
- xarray.py
- __init__.py
- test_api_client.py
- test_calibration.py
- test_engine.py
- test_hazard.py
- test_litpop_integr.py
- test_nightlight.py
- test_plot.py
- test_util.py
- test_util_calibrate.py
- __init__.py
- test_base.py
- test_bayesian_optimizer.py
- test_ensemble.py
- test_scipy_optimizer.py
- __init__.py
- base.py
- bayesian_optimizer.py
- cost_func.py
- ensemble.py
- scipy_optimizer.py
- __init__.py
- test__init__.py
- test_checker.py
- test_config.py
- test_coordinates.py
- test_dates_times.py
- test_dwd_icon.py
- test_files.py
- test_finance.py
- test_hdf5.py
- test_interpolation.py
- test_lines_polys_handler.py
- test_plot.py
- test_save.py
- test_select.py
- test_value_representation.py
- test_yearsets.py
- __init__.py
- api_client.py
- checker.py
- config.py
- constants.py
- coordinates.py
- dates_times.py
- dwd_icon_loader.py
- earth_engine.py
- files_handler.py
- finance.py
- hdf5_handler.py
- interpolation.py
- lines_polys_handler.py
- plot.py
- save.py
- scalebar_plot.py
- select.py
- value_representation.py
- yearsets.py
- __init__.py
- _version.py
- custom.css
- default.css
- climada.engine.rst
- climada.engine.unsequa.rst
- climada.entity.disc_rates.rst
- climada.entity.exposures.litpop.rst
- climada.entity.exposures.rst
- climada.entity.impact_funcs.rst
- climada.entity.measures.rst
- climada.entity.rst
- climada.hazard.centroids.rst
- climada.hazard.rst
- climada.hazard.trop_cyclone.rst
- climada.rst
- climada.util.calibrate.rst
- climada.util.rst
- index.rst
- CLIMADA_logo_QR.png
- docstring1.png
- docstring2.png
- docstring3.png
- docstring4.png
- docstring5.png
- dr_who.jpg
- FileSystem-1.png
- FileSystem-2.png
- flow_1.png
- flow_2.png
- flow_3.png
- flow_4.png
- fstrings.png
- git_github_logos.jpg
- git_gui.png
- LoggerLevels.png
- pylint.png
- WhenToLog.png
- xkcd_git.png
- zen_of_python.png
- coding-in-python.rst
- Guide_CLIMADA_conventions.ipynb
- Guide_CLIMADA_Development.ipynb
- Guide_CLIMADA_Tutorial.ipynb
- Guide_Configuration.ipynb
- Guide_continuous_integration_GitHub_actions.ipynb
- Guide_Euler.ipynb
- Guide_Exception_Logging.ipynb
- Guide_Git_Development.ipynb
- Guide_Py_Performance.ipynb
- Guide_PythonDos-n-Donts.ipynb
- Guide_Review.ipynb
- Guide_Testing.ipynb
- index.rst
- write-documentation.rst
- 0_intro_python.ipynb
- Guide_get_started.ipynb
- Guide_Introduction.ipynb
- index.rst
- install.rst
- logo.png
- petals.ico
- impfs.png
- paper.bib
- paper.md
- pspace.png
- AUTHORS.rst
- CHANGELOG.rst
- citation.rst
- climada_publications.bib
- cost-benefit.png
- exposure.png
- impact-function.png
- risk_framework.png
- sensitivity.png
- tc-tracks.png
- UncertaintySensitivity.jpg
- 0_10min_climada.ipynb
- 1_main_climada.ipynb
- climada_engine_CostBenefit.ipynb
- climada_engine_Forecast.ipynb
- climada_engine_Impact.ipynb
- climada_engine_impact_data.ipynb
- climada_engine_unsequa.ipynb
- climada_engine_unsequa_helper.ipynb
- climada_entity_DiscRates.ipynb
- climada_entity_Exposures.ipynb
- climada_entity_Exposures_osm.ipynb
- climada_entity_Exposures_polygons_lines.ipynb
- climada_entity_ImpactFuncSet.ipynb
- climada_entity_LitPop.ipynb
- climada_entity_MeasureSet.ipynb
- climada_hazard_copernicus_seasonal_forecast.ipynb
- climada_hazard_Hazard.ipynb
- climada_hazard_StormEurope.ipynb
- climada_hazard_TropCyclone.ipynb
- climada_util_api_client.ipynb
- climada_util_calibrate.ipynb
- climada_util_earth_engine.ipynb
- climada_util_local_exceedance_values.ipynb
- climada_util_yearsets.ipynb
- exposures.rst
- hazard.rst
- impact.rst
- index.rst
- unsequa.rst
- conf.py
- create_env_doc.dockerfile
- index.rst
- Makefile
- README.md
- env_climada.yml
- FL_entity_Acelhuate_houses.xlsx
- FL_entity_Acelhuate_parametric.xlsx
- functions_ss.py
- README.txt
- Salvador_hazard_FL_2015.hdf5
- Salvador_hazard_FL_2040_extreme_cc.hdf5
- San_Salvador_Adaptacion.ipynb
- San_Salvador_Adaptation.ipynb
- San_Salvador_Parametric.ipynb
- San_Salvador_Risk.ipynb
- Jenkinsfile
- Jenkinsfile
- Jenkinsfile
- run_integ_test.sh
- install_env.sh
- set_config.py
- test_data_api.py
- test_notebooks.py
- .coveragerc
- .gitignore
- .pre-commit-config.yaml
- .pylintrc
- .readthedocs.yml
- .zenodo.json
- AUTHORS.md
- CHANGELOG.md
- climada.conf
- CONTRIBUTING.md
- LICENSE
- Makefile
- MANIFEST.in
- pyproject.toml
- README.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/CLIMADA-project/climada_python
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd climada_python
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Python
쉬움 추천사전 준비물
pip install .
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
jupyter notebook
브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
3. Make
보통사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Make Linux/macOS는 보통 기본 설치되어 있습니다. Windows는 별도 설치(예: MSYS2, WSL)가 필요합니다.
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
에러 없이 끝나면 성공입니다. 생성된 실행 파일을 직접 실행해보세요.
// repository documentation
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